100 Best Statistics Books of All Time

We've researched and ranked the best statistics books in the world, based on recommendations from world experts, sales data, and millions of reader ratings. Learn more

Featuring recommendations from Barack Obama, Malcolm Gladwell, Charles T. Munger, and 227 other experts.
1
A black swan is a highly improbable event with three principal characteristics: It is unpredictable; it carries a massive impact; and, after the fact, we concoct an explanation that makes it appear less random, and more predictable, than it was.

The astonishing success of Google was a black swan; so was 9/11. For Nassim Nicholas Taleb, black swans underlie almost everything about our world, from the rise of religions to events in our own personal lives.

Why do we not acknowledge the phenomenon of black swans until after they occur? Part of the answer, according to...
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Recommended by Bill Gates, Jeff Bezos, Simon Sinek, and 22 others.

Bill Gates[On Bill Gates's reading list in 2012.] (Source)

Jeff Bezos[From the book "The Everything Store: and the Age of Amazon"] “The scholar argues that people are wired to see patterns in chaos while remaining blind to unpredictable events, with massive consequences. Experimentation and empiricism trumps the easy and obvious narrative,” Stone writes. (Source)

James AltucherAnd throw in “The Black Swan” and “Fooled by Randomness”. “Fragile” means if you hit something might break. “Resilient” means if you hit something, it will stay the same. On my podcast Nassim discusses “Antifragility” – building a system, even on that works for you on a personal level, where you if you harm your self in some way it becomes stronger. That podcast changed my life He discusses... (Source)

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2

In April 1956, a refitted oil tanker carried fifty-eight shipping containers from Newark to Houston. From that modest beginning, container shipping developed into a huge industry that made the boom in global trade possible. "The Box" tells the dramatic story of the container's creation, the decade of struggle before it was widely adopted, and the sweeping economic consequences of the sharp fall in transportation costs that containerization brought about.
Published on the fiftieth anniversary of the first container voyage, this is the first comprehensive history of the shipping...
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Bill GatesI picked this one up after seeing it on a Wall Street Journal list of good books for investors. It was first published in 1954, but it doesn’t feel dated (aside from a few anachronistic examples—it has been a long time since bread cost 5 cents a loaf in the United States). In fact, I’d say it’s more relevant than ever. One chapter shows you how visuals can be used to exaggerate trends and give... (Source)

Tobi LütkeWe all live in Malcolm’s world because the shipping container has been hugely influential in history. (Source)

Jason ZweigThis is a terrific introduction to critical thinking about statistics, for people who haven’t taken a class in statistics. (Source)

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3
Factfulness: The stress-reducing habit of only carrying opinions for which you have strong supporting facts.

When asked simple questions about global trends—what percentage of the world’s population live in poverty; why the world’s population is increasing; how many girls finish school—we systematically get the answers wrong. So wrong that a chimpanzee choosing answers at random will consistently outguess teachers, journalists, Nobel laureates, and investment bankers.

In Factfulness, Professor of International Health and global TED phenomenon...
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Barack ObamaAs 2018 draws to a close, I’m continuing a favorite tradition of mine and sharing my year-end lists. It gives me a moment to pause and reflect on the year through the books I found most thought-provoking, inspiring, or just plain loved. It also gives me a chance to highlight talented authors – some who are household names and others who you may not have heard of before. Here’s my best of 2018... (Source)

Bill GatesThis was a breakthrough to me. The framework Hans enunciates is one that took me decades of working in global development to create for myself, and I could have never expressed it in such a clear way. I’m going to try to use this model moving forward. (Source)

Nigel WarburtonIt’s an interesting book, it’s very challenging. It may be over-optimistic. But it does have this startling effect on the readers of challenging widely held assumptions. It’s a plea to look at the empirical data, and not just assume that you know how things are now. (Source)

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4
Which is more dangerous, a gun or a swimming pool? What do schoolteachers and sumo wrestlers have in common? Why do drug dealers still live with their moms? How much do parents really matter? What kind of impact did Roe v. Wade have on violent crime? Freakonomics will literally redefine the way we view the modern world.

These may not sound like typical questions for an economist to ask. But Steven D. Levitt is not a typical economist. He is a much heralded scholar who studies the stuff and riddles of everyday life -- from cheating and crime to sports and child rearing -- and whose...
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Malcolm GladwellI don’t need to say much here. This book invented an entire genre. Economics was never supposed to be this entertaining. (Source)

Daymond JohnI love newer books like [this book]. (Source)

James Altucher[James Altucher recommended this book on the podcast "The Tim Ferriss Show".] (Source)

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5
One of Wall Street Journal's Best Ten Works of Nonfiction in 2012

New York Times Bestseller

"Not so different in spirit from the way public intellectuals like John Kenneth Galbraith once shaped discussions of economic policy and public figures like Walter Cronkite helped sway opinion on the Vietnam War…could turn out to be one of the more momentous books of the decade."
-New York Times Book Review

"Nate Silver's The Signal and the Noise is The Soul of a New Machine for the 21st century."
-Rachel Maddow, author of Drift

"A serious...
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Recommended by Bill Gates, and 1 others.

Bill GatesAnyone interested in politics may be attracted to Nate Silver’s The Signal and the Noise: Why So Many Predictions Fail—but Some Don't. Silver is the New York Times columnist who got a lot of attention last fall for predicting—accurately, as it turned out–the results of the U.S. presidential election. This book actually came out before the election, though, and it’s about predictions in many... (Source)

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6

Outliers

The Story of Success

In this stunning new book, Malcolm Gladwell takes us on an intellectual journey through the world of "outliers"--the best and the brightest, the most famous and the most successful. He asks the question: what makes high-achievers different?

His answer is that we pay too much attention to what successful people are like, and too little attention to where they are from: that is, their culture, their family, their generation, and the idiosyncratic experiences of their upbringing. Along the way he explains the secrets of software billionaires, what it takes to be a great soccer player,...
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Bill Gates[On Bill Gates's reading list in 2011.] (Source)

James AltucherGladwell is not the first person to come up with the 10,000 hour rule. Nor is he the first person to document what it takes to become the best in the world at something. But his stories are so great as he explains these deep concepts. How did the Beatles become the best? Why are professional hockey players born in January, February and March? And so on. (Source)

Cat Williams-TreloarThe books that I've talked the most about with friends and colleagues over the years are the Malcolm Gladwell series of novels. Glorious stories that mix science, behaviours and insight. You can't go wrong with the "The Tipping Point", "Outliers", "Blink" or "David & Goliath". (Source)

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7
Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools... more

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8
Moneyball is a quest for something as elusive as the Holy Grail, something that money apparently can't buy: the secret of success in baseball. The logical places to look would be the front offices of major league teams and the dugouts, perhaps even in the minds of the players themselves. Michael Lewis mines all these possibilities - his intimate and original portraits of big league ballplayers are alone worth the price of admission - but the real jackpot is a cache of numbers - numbers! - collected over the years by a strange brotherhood of amateur baseball enthusiasts: software... more

Carol DweckYou would think that the relationship between training and skill would be utterly obvious in sports, but apparently it isn’t. (Source)

David PapineauIt’s a parable of the disinclination of people in general to base their practices on evidence, a parable for evidence-based policy in general. (Source)

Ed SmithThis is about a guy using econometrics to predict which baseball players will do better in advancing wins, a remarkable use of economic thinking. (Source)

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9

Thinking, Fast and Slow

Major New York Times bestseller
Winner of the National Academy of Sciences Best Book Award in 2012
Selected by the New York Times Book Review as one of the best books of 2011
A Globe and Mail Best Books of the Year 2011 Title
One of The Economist's 2011 Books of the Year
One of The Wall Street Journal's Best Nonfiction Books of the Year 2011
2013 Presidential Medal of Freedom Recipient

In the international bestseller, Thinking, Fast and Slow, Daniel Kahneman, the renowned psychologist and winner of the Nobel...
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Barack ObamaA few months ago, Mr. Obama read “Thinking, Fast and Slow,” by Daniel Kahneman, about how people make decisions — quick, instinctive thinking versus slower, contemplative deliberation. For Mr. Obama, a deliberator in an instinctive business, this may be as instructive as any political science text. (Source)

Bill Gates[On Bill Gates's reading list in 2012.] (Source)

Marc AndreessenCaptivating dive into human decision making, marred by inclusion of several/many? psychology studies that fail to replicate. Will stand as a cautionary tale? (Source)

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10
Fooled by Randomness is a standalone book in Nassim Nicholas Taleb’s landmark Incerto series, an investigation of opacity, luck, uncertainty, probability, human error, risk, and decision-making in a world we don’t understand. The other books in the series are The Black Swan, Antifragile, and The Bed of Procrustes.

Now in a striking new hardcover edition, Fooled by Randomness is the word-of-mouth sensation that will change the way you think about business and the world. Nassim Nicholas Taleb–veteran trader, renowned risk expert, polymathic scholar,...
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James AltucherAnd throw in “The Black Swan” and “Fooled by Randomness”. “Fragile” means if you hit something might break. “Resilient” means if you hit something, it will stay the same. On my podcast Nassim discusses “Antifragility” – building a system, even on that works for you on a personal level, where you if you harm your self in some way it becomes stronger. That podcast changed my life He discusses... (Source)

Howard MarksReally about how much randomness there is in our world. (Source)

Anant JainThe five-book series, "Incerto", by Nassim Nicholas Taleb has had a profound impact on how I think about the world. There’s some overlap across the books — but you'll likely find the repetition helpful in retaining the content better. (Source)

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Don't have time to read the top Statistics books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

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  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
11

An Introduction to Statistical Learning

With Applications in R

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and... more
Recommended by Roger D. Peng, and 1 others.

Roger D. PengThis book is written by a powerhouse of authors in the machine learning community, true authorities in the field. But beyond that, they’re also great writers. (Source)

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12
The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays.
This is the...
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Recommended by Bret Victor, Michael Okuda, and 2 others.

Michael OkudaEdward Tufte's classic book, The Visual Display of Quantitative Information is a fascinating, surprisingly readable treatise for anyone interested in infographics. When I hired artists for the Star Trek graphics dept, I sometimes asked them to read it.https://t.co/cK4GQqBDxp (Source)

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13
An alternate cover edition exists here.

The tipping point is that magic moment when an idea, trend, or social behavior crosses a threshold, tips, and spreads like wildfire. Just as a single sick person can start an epidemic of the flu, so too can a small but precisely targeted push cause a fashion trend, the popularity of a new product, or a drop in the crime rate. This widely acclaimed bestseller, in which Malcolm Gladwell explores and brilliantly illuminates the tipping point...
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Kevin RoseBunch of really good information in here on how to make ideas go viral. This could be good to apply to any kind of products or ideas you may have. Definitely, check out The Tipping Point, which is one of my favorites. (Source)

Seth GodinMalcolm Gladwell's breakthrough insight was to focus on the micro-relationships between individuals, which helped organizations realize that it's not about the big ads and the huge charity balls... it's about setting the stage for the buzz to start. (Source)

Andy SternI think that when we talk about making change, it is much more about macro change, like in policy. This book reminds you that at times when you're building big movements, or trying to elect significant decision-makers in politics, sometimes it's the little things that make a difference. Ever since the book was written, we've become very used to the idea of things going viral unexpectedly and then... (Source)

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14
The New York Times best-selling Freakonomics was a worldwide sensation, selling over four million copies in thirty-five languages and changing the way we look at the world. Now, Steven D. Levitt and Stephen J. Dubner return with SuperFreakonomics, and fans and newcomers alike will find that the freakquel is even bolder, funnier, and more surprising than the first.

Four years in the making, SuperFreakonomics asks not only the tough questions, but the unexpected ones: What's more dangerous, driving drunk or walking drunk? Why is chemotherapy prescribed so often if it's so...
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Bill GatesI recommend this book to anyone who reads nonfiction. It is very well written and full of great insights. (Source)

Fabrice GrindaI have lots of books to recommend, but they are not related to my career path. The only one that is remotely related is Peter Thiel’s Zero to One. That said here are books I would recommend. (Source)

Keith SlotterThese two gentlemen wrote the first book several years ago and SuperFreakonomics just came out. The books are very interesting on crime theory. Their theories are controversial. For example, they link a decrease in crime to the legalisation of abortion. In a nutshell they say that abortion stopped a whole new generation of criminals from being born. And that is because they say abortion is most... (Source)

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15
Esta apasionante lectura nos descubre la naturaleza de los procesos arbitrarios de la vida cotidiana y cambia para siempre la percepción que tenemos de ellos. En 1905 Albert Einstein publicó una impactante explicación sobre el movimiento browniano -el movimiento arbitrario de partículas- comparándolo con la clase de movimiento que se observaría en el caminar de un borracho. La comparación se convirtió desde entonces en una poderosa herramienta para entender el movimiento puramente arbitrario que, por definición, no tiene ningún modelo específico.
En este nuevo libro, Leonard Mlodinow...
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Recommended by David Spiegelhalter, Gabriel Coarna, and 2 others.

David SpiegelhalterThis is a general introduction to the history of probability and the way it comes into everyday life. It intersperses the historical development with modern applications, and looks at finance, sport, gambling, lotteries and coincidences. (Source)

Gabriel CoarnaLeonard Mlodinow's "The Drunkarkd's Walk" -more precisely, the section on the "Monty Hall" problem- totally changed how I look-at/think-about probabilities and choices in general; this has impacted almost every real-life choice I've made since I read this book. (Source)

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16

Superforecasting

The Art and Science of Prediction

New York Times Bestseller

An Economist Best Book of 2015

"The most important book on decision making since Daniel Kahneman's Thinking, Fast and Slow."
Jason Zweig, The Wall Street Journal
 
Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week’s meals. Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even...
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Sheil KapadiaRead the book Superforecasting, had a great conversation with @bcmassey and came up with seven ideas for how NFL teams can try to find small edges during the draft process. Would love to hear feedback on this one. https://t.co/PdN1fKCagl (Source)

Julia Galef[Has] some good advice on how to improve your ability to make accurate predictions. (Source)

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17
Longlisted for the National Book Award
New York Times Bestseller


A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life -- and threaten to rip apart our social fabric

We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we get a car loan, how much we pay for health insurance--are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is...
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Recommended by Paula Boddington, Ramesh Srinivasan, and 2 others.

Paula BoddingtonHow the use of algorithms has affected people’s lives and occasionally ruined them. (Source)

Ramesh SrinivasanThis book is a really fantastic analysis of how quantification, the collection of data, the modelling around data, the predictions made by using data, the algorithmic and quantifiable ways of predicting behaviour based on data, are all built by elites for elites and end up, quite frankly, screwing over everybody else. (Source)

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18

The Book of Why

The New Science of Cause and Effect

A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence
"Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality--the study of cause and effect--on a firm scientific basis. His work explains how we can know easy things,...
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Recommended by D.a. Wallach, Kirk Borne, and 2 others.

D.a. Wallach@EricTopol @yudapearl @bschoelkopf @MPI_IS I love @yudapearl 's book so much! Profound, heterodox. (Source)

Kirk Borne.@yudapearl wrote the awesome "Book of Why", but he recommends this fun and less #mathematics-heavy read >> his #AI lecture given in 1999: https://t.co/kNYIoJ8qcY #DataScience #MachineLearning #Statistics #BookofWhy #Causalinference #Bayes https://t.co/CNQlKP8cU3 (Source)

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19
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all mathematics is explained intuitively and with concrete examples. It assumes only algebra and rusty calculus. Unlike other textbooks, this book begins with the basics, including essential concepts of probability and random... more

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20

Antifragile

Things That Gain from Disorder

From the bestselling author of The Black Swan and one of the foremost philosophers of our time, Nassim Nicholas Taleb, a book on how some systems actually benefit from disorder.

In The Black Swan Taleb outlined a problem; in Antifragile he offers a definitive solution: how to gain from disorder and chaos while being protected from fragilities and adverse events. For what he calls the "antifragile" is one step beyond robust, as it benefits from adversity, uncertainty and stressors, just as human bones get stronger when subjected to stress and tension.

Taleb stands...
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James AltucherYou ask about success. To be successful you have to avoid being “fragile” – the idea that if something hurts you, you let collapse completely. You also have to avoid simply being resilient. Bouncing back is not enough. Antifragile is when something tries to hurt you and you come back stronger. That is real life business. That is real life success. Nassim focuses on the economy. But when I read... (Source)

Marvin Liaoeval(ez_write_tag([[250,250],'theceolibrary_com-leader-2','ezslot_7',164,'0','1'])); My list would be (besides the ones I mentioned in answer to the previous question) both business & Fiction/Sci-Fi and ones I personally found helpful to myself. The business books explain just exactly how business, work & investing are in reality & how to think properly & differentiate yourself. On... (Source)

Vlad TenevThe general concept is applicable to many fields beyond biology, for instance finance, economics and monetary policy. (Source)

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Don't have time to read the top Statistics books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
21
The Freakonomics of matha math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands

The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.

Math allows us to see the hidden structures underneath the messy and...
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Bill GatesThe writing is funny, smooth, and accessible -- not what you might expect from a book about math. What Ellenberg has written is ultimately a love letter to math. If the stories he tells add up to a larger lesson, it’s that 'to do mathematics is to be, at once, touched by fire and bound by reason' -- and that there are ways in which we’re all doing math, all the time. (Source)

Auston BunsenI’ve got a few, one book that really impacted me early on as someone coming from a middle-class family was “Rich dad, Poor dad”. Since then I’ve read many books but one that really stands out is “How not to be wrong” by Jordan Ellenberg which really reignited my appetite & appreciation for math. (Source)

Nick GanjuWritten for an audience of people who have historically been intimidated by math [...] and introduces things in a very simple way, and then works up to more complex concepts. (Source)

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22
Updated version featuring all new material.

If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on "People's Court," or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy.

The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis...
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23
An insightful, revealing history of the magical mathematics that transformed our world.

At a summer tea party in Cambridge, England, a guest states that tea poured into milk tastes different from milk poured into tea. Her notion is shouted down by the scientific minds of the group. But one man, Ronald Fisher, proposes to scientifically test the hypothesis. There is no better person to conduct such an experiment, for Fisher is a pioneer in the field of statistics.

The Lady Tasting Tea spotlights not only Fisher's theories but also the revolutionary ideas of...
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24
Everyone knows that abuse of statistics is rampant in popular media. Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong.

"Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.

In this...
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25

The Elements of Statistical Learning

Data Mining, Inference, and Prediction

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the...

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Recommended by Nassim Nicholas Taleb, and 1 others.

Nassim Nicholas TalebVery comprehensive, sufficiently technical to get most of the plumbing behind machine learning. Very useful as a reference book (actually, there is no other complete reference book). The authors are the real thing (Tibshirani is the one behind the LASSO regularization technique). Uses some mathematical statistics without the burdens of measure theory and avoids the obvious but complicated... (Source)

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26
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.

Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to...
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27
The definitive guide to statistical thinking
Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence -- and even more so if we hope to participate in the future, rather than being simple bystanders.
In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge...
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Recommended by Dan Davies, and 1 others.

Dan Davies@amoralelite @d_spiegel It's a great book. I thought it was like coming home because I've always tried to avoid calculation due to the dyspraxia and it was just "yes, that's how you think about it" (Source)

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28

Think and Grow Rich

One of the most popular personal development and self-improvement books of all time, Think and Grow Rich has sold over 100 million copies worldwide since its first publication during the Great Depression. In this hardcover edition, Napoleon Hill presents a "Philosophy of Achievement" in 13 principles drawn from the success stories of such greats as Andrew Carnegie, Henry Ford, Thomas Edison, and other millionaires of his time.

Think and Grow Rich reveals the secrets that can bring you fortune. By suppressing negative thoughts and keeping your focus on...
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Daymond JohnThe main takeaway from [this book] was goal-setting. It was the fact that if you don't set a specific goal, then how can you expect to hit it? (Source)

Mark Moses[ listing the books that had the biggest impact on him] (Source)

Sa ElAnother book all about how to obtain financial success by changing how you think and how to change your actions based on that thinking pattern, mindset is the first thing that must change if you want to build a business. (Source)

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29
With the stock market breaking records almost daily, leaving longtime market analysts shaking their heads and revising their forecasts, a study of the concept of risk seems quite timely. Peter Bernstein has written a comprehensive history of man's efforts to understand risk and probability, beginning with early gamblers in ancient Greece, continuing through the 17th-century French mathematicians Pascal and Fermat and up to modern chaos theory. Along the way he demonstrates that understanding risk underlies everything from game theory to bridge-building to winemaking. less

Jason ZweigIn the book, he explores risk at every conceivable level – what it is mathematically and what it is psychologically, how it has played out historically, how people have thought to measure it and also to control it. (Source)

John Lanchesterit’s an absolutely fascinating, for-the-layman account of how humanity mastered risk and came to understand probability. (Source)

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30
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader... more

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Don't have time to read the top Statistics books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
31
A New York Times Bestseller

An audacious, irreverent investigation of human behavior—and a first look at a revolution in the making

 
Our personal data has been used to spy on us, hire and fire us, and sell us stuff we don’t need. In Dataclysm, Christian Rudder uses it to show us who we truly are.
 
For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and...
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Recommended by Elad Yom-Tov, and 1 others.

Elad Yom-TovChristian Rudder was the chief scientist of a dating website, OK Cupid. (Source)

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32

Bayesian Data Analysis

Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:


Stronger focus on MCMC Revision of the computational advice in Part...
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33

Discovering Statistics Using R

The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is enhanced by a cast of characters to help the reader on their way, hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more. less

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34
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers' knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.



The text presents generalized linear multilevel models from a Bayesian perspective,...
more

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35

Applied Predictive Modeling

This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a... more
Recommended by Kirk Borne, and 1 others.

Kirk BorneFind more than 40 useful #PredictiveModeling articles here at @DataScienceCtrl https://t.co/KdcvLRffRk #abdsc ———— #BigData #DataScience #AI #MachineLearning #Forecasting #Statistics #PredictiveAnalytics ——— +This is the best book on the subject: https://t.co/SmsepmniHi https://t.co/amBJHCJSHN (Source)

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36

Pattern Recognition and Machine Learning

Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference... more

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37

Probability Theory

Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information. less

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38

Statistics

The Fourth Edition has been carefully revised and updated to reflect current data. less

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39
Drawing on cutting-edge neuroscience and psychology and displaying all of the brilliance that made The Tipping Point a classic, Blink changes the way you'll understand every decision you make. Never again will you think about thinking the same way.

Malcolm Gladwell redefined how we understand the world around us. Now, in Blink, he revolutionizes the way we understand the world within. Blink is a book about how we think without thinking, about choices that seem to be made in an instant - in the blink of an eye - that actually aren't as simple as they seem. Why are some...
more

Mike ShinodaI know most of the guys in the band read [this book]. (Source)

Marillyn HewsonCEO Marilyn Hewson recommends this book because it helped her to trust her instincts in business. (Source)

Cat Williams-TreloarThe books that I've talked the most about with friends and colleagues over the years are the Malcolm Gladwell series of novels. Glorious stories that mix science, behaviours and insight. You can't go wrong with the "The Tipping Point", "Outliers", "Blink" or "David & Goliath". (Source)

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40
Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.

In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist...
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41
Imagine a world where your phone is too big for your hand, where your doctor prescribes a drug that is wrong for your body, where in a car accident you are 47% more likely to be seriously injured, where every week the countless hours of work you do are not recognised or valued. If any of this sounds familiar, chances are that you're a woman.

Invisible Women shows us how, in a world largely built for and by men, we are systematically ignoring half the population. It exposes the gender data gap – a gap in our knowledge that is at the root of perpetual, systemic discrimination against...
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Konnie Huq@FenTiger697 @WokingAmnesty @CCriadoPerez @Hatchards @radioleary Brilliant book by the brilliant @CCriadoPerez 😍 (Source)

Feminist Next Door@Rockmedia Awesome book (Source)

Nigel ShadboltInvisible Women is an exposé of just how much of the world around us is designed around the default male. Deploying a huge range of data and examples, Caroline Criado Perez, who is a writer, broadcaster and award winning campaigner, presents on overwhelming case for change. Every page is full of facts and data that support her fundamental contention that in a world built for and by men, gender... (Source)

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42
Why would a casino try and stop you from losing? How can a mathematical formula find your future spouse? Would you know if a statistical analysis blackballed you from a job you wanted?Today, number crunching affects your life in ways you might never imagine. In this lively and groundbreaking new book, economist Ian Ayres shows how today's best and brightest organizations are analyzing massive databases at lightening speed to provide greater insights into human behavior. They are the Super Crunchers. From internet sites like Google and Amazon that know your tastes better than you do, to a... more

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43
From The New York Times bestselling author of THE ORGANIZED MIND and THIS IS YOUR BRAIN ON MUSIC, a primer to the critical thinking that is more necessary now than ever.

We are bombarded with more information each day than our brains can process—especially in election season. It's raining bad data, half-truths, and even outright lies. New York Times bestselling author Daniel J. Levitin shows how to recognize misleading announcements, statistics, graphs, and written reports revealing the ways lying weasels can use them.

It's...
more

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44

Thinking Statistically

This book will show you how to think like a statistician, without worrying about formal statistical techniques. Along the way we’ll learn how selection bias can explain why your boss doesn’t know he sucks (even when everyone else does); how to use Bayes’ Theorem to decide if your partner is cheating on you; and why Mark Zuckerberg should never be used as an example for anything. See the world in a whole new light, and make better decisions and judgements without ever going near a t-test. Think. Think Statistically. less

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45
Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference,... more

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46

Statistical Inference

This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. This book can be used for readers who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for... more

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47
Praise for How to Measure Anything: Finding the Value of Intangibles in Business

"I love this book. Douglas Hubbard helps us create a path to know the answer to almost any question in business, in science, or in life . . . Hubbard helps us by showing us that when we seek metrics to solve problems, we are really trying to know something better than we know it now. How to Measure Anything provides just the tools most of us need to measure anything better, to gain that insight, to make progress, and to succeed."
-Peter Tippett, PhD, M.D.
Chief Technology Officer at...
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Recommended by Julia Galef, Nick Ganju, and 2 others.

Julia Galef[Has] some good advice on how to improve your ability to make accurate predictions. (Source)

Nick GanjuAbout being outcome-based and getting these measurable outcomes. (Source)

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48

Envisioning Information

The celebrated design professor here tackles the question of how best to communicate real-life experience in a two-degree format, whether on the printed page or the computer screen. The Whole Earth Review called Envisioning Information a "passionate, elegant revelation." less

Kevin RoseThe master when it comes to taking complicated data and turning it into beautiful charts and graphs that are easy to understand. If you’re into graphic design, print design, web design, you name it, you’re going to get some really good information and how tos out of these books. He has a whole series of these books. (Source)

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49

Principles of Statistics

There are many textbooks which describe current methods of statistical analysis, while neglecting related theory. There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an intermediate level. Professor M. G. Bulmer's Principles of Statistics, originally published in 1965, was created to fill that need. The new, corrected Dover edition of Principles of Statistics makes this invaluable mid-level text available... more

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50
Foreword by Steven Pinker

Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.

By the end of an average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—unprecedented in history—can tell us a great deal about who we...
more
Recommended by Jj. Omojuwa, Ron Fournier, and 2 others.

Jj. Omojuwa@SympLySimi Lol. Read this book. You’d love it. https://t.co/d2cLOyoiZ9 (Source)

Ron FournierJust finished, “Everybody Lies” by @SethS_D, which in addition to being a tremendous education on Big Data, includes the best conclusion to a non-fiction book I’ve ever read. Read it. -30- (Source)

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Don't have time to read the top Statistics books of all time? Read Shortform summaries.

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51
The informative and witty expose of the "bad science" we are all subjected to, called "one of the essential reads of the year" by New Scientist.

We are obsessed with our health. And yet — from the media's "world-expert microbiologist" with a mail-order Ph.D. in his garden shed laboratory, and via multiple health scares and miracle cures — we are constantly bombarded with inaccurate, contradictory, and sometimes even misleading information. Until now. Ben Goldacre masterfully dismantles the questionable science behind some of the great drug trials, court cases, and missed...
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Timothy FerrissI agree wholeheartedly with a lot of the co-opted science, which people can read a book called Bad Science, which is by a doctor named Ben Goldacre. It’s great. (Source)

Tim HarfordThis book changed the way I thought about my own writing and it changed the way I thought about the world. It really is one of the best books I have ever read. (Source)

Sarah-Jayne BlakemoreIt’s just a brilliant book, and he’s a fearless defender of science. (Source)

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52

Mostly Harmless Econometrics

An Empiricist's Companion

The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.

In addition to econometric...
more

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53

Statistics in Plain English

This introductory textbook provides an inexpensive, brief overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts such as "t" tests, regression, repeated measures ANOVA, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used. This is followed by a more in-depth explanation of how the statistic works. Finally,... more

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54

Statistical Models

This lively and engaging textbook explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The author, David A. Freedman, explains the basic ideas of association and regression, and takes you through the current models that link these ideas to causality. The focus is on applications of linear models, including generalized least squares and two-stage least squares, with probits and logits for binary variables. The bootstrap is developed as a technique for estimating bias... more
Recommended by Nassim Nicholas Taleb, and 1 others.

Nassim Nicholas TalebI spent my life focusing on the errors of statistics and how they sometimes fail us in real life, because of the misinterpretation of what the techniques can do for you. This book is outstanding in the following two aspects: 1) It is of immense clarity, embedding everything in real situations, 2) It uses the real-life situation to critique the statistical model and show you the limit of... (Source)

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55
Quite simply the only book on statistics that students will need to buy at university. What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section... more

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56

Think Stats

If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools...
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57
To really learn data science, you should not only master the tools--data science libraries, frameworks, modules, and toolkits--but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data...
more

Thorsten HellerThe Best #book to Start your #DataScience Journey - Towards #DataScience https://t.co/D8PlkkSxw6 by @benthecoder1 (Source)

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58
This lively collection of essays examines in witty detail the history of some of the concepts involved in bringing statistical argument "to the table," and some of the pitfalls that have been encountered. The topics range from seventeenth-century medicine and the circulation of blood, to the cause of the Great Depression and the effect of the California gold discoveries of 1848 upon price levels, to the determinations of the shape of the Earth and the speed of light, to the meter of Virgil's poetry and the prediction of the Second Coming of Christ. The title essay tells how the statistician... more

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59

Algorithms to Live By

The Computer Science of Human Decisions

A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind

All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same...
more

Doug McMillonHere are some of my favorite reads from 2017. Lots of friends and colleagues send me book suggestions and it's impossible to squeeze them all in. I continue to be super curious about how digital and tech are enabling people to transform our lives but I try to read a good mix of books that apply to a variety of areas and stretch my thinking more broadly. (Source)

Sriram Krishnan@rabois @nealkhosla Yes! Love that book (Source)

Chris OliverThis is a great book talking about how you can use computer science to help you make decisions in life. How do you know when to make a decision on the perfect house? Car? etc? It helps you apply algorithms to making those decisions optimally without getting lost. (Source)

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60
Written by one of the pre-eminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections,... more

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Don't have time to read the top Statistics books of all time? Read Shortform summaries.

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61

Deep Learning

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by...
more

Elon MuskWritten by three experts in the field, Deep Learning is the only comprehensive book on the subject. (Source)

Nassim Nicholas TalebVery clear exposition, does the math without getting lost in the details. Although many of the concepts of the introductory first 100 pages can be found elsewhere, they are presented with remarkable cut-to-the-chase clarity. (Source)

Satya NadellaElon Musk and Facebook AI chief Yann LeCun have praised this textbook on one of software’s most promising frontiers. After its publication, Microsoft signed up coauthor Bengio, a pioneer in machine learning, as an adviser (Source)

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62
1. 1 Welcome to ggplot2 ggplot2 is an R package for producing statistical, or data, graphics, but it is unlike most other graphics packages because it has a deep underlying grammar. This grammar, based on the Grammar of Graphics (Wilkinson, 2005), is composed of a set of independent components that can be composed in many di?erent ways. This makesggplot2 very powerful, because you are not limited to a set of pre-speci?ed graphics, but you can create new graphics that are precisely tailored for your problem. This may sound overwhelming, but because there is a simple set of core principles and... more

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63
In 1956 two Bell Labs scientists discovered the scientific formula for getting rich. One was mathematician Claude Shannon, neurotic father of our digital age, whose genius is ranked with Einstein's. The other was John L. Kelly Jr., a Texas-born, gun-toting physicist. Together they applied the science of information theory—the basis of computers and the Internet—to the problem of making as much money as possible, as fast as possible.

Shannon and MIT mathematician Edward O. Thorp took the "Kelly formula" to Las Vegas. It worked. They realized that there was even more money to be made...
more
Recommended by P. D. Mangan, and 1 others.

P. D. Mangan@MarquisDeMarche @natstewart5 Great book. (Source)

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64
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.

The coverage combines breadth and depth, offering...
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Recommended by Kirk Borne, and 1 others.

Kirk Borne[Book] #MachineLearning — a Probabilistic Perspective: https://t.co/wAZwLoUFGF ———— #BigData #Statistics #DataScience #DeepLearning #AI #Algorithms #StatisticalLiteracy #Mathematics #abdsc ——— ⬇Get this brilliant 1100-page 28-chapter highly-rated book: https://t.co/Tm2zchpHSu https://t.co/jprUDdzkj8 (Source)

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65
With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.

Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R...
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66
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll...
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Recommended by Kirk Borne, and 1 others.

Kirk BorneGreat book for Business Analytics and for building #AnalyticThinking >> “#DataScience for Business — What You Need to Know about #DataMining and Data-Analytic Thinking”: https://t.co/e9rAFnVYYQ #BigData #MachineLearning #DataStrategy #AnalyticsStrategy #Algorithms https://t.co/yEblfU2MZd (Source)

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67
This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R's graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.

Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you're ready to get started.


Use R's default graphics for quick exploration of data
Create a...
more

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68
Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples.

Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.

This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a...
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69

Statistics for Dummies, 2nd Edition

Statistics For Dummies, 2nd Edition (9781119293521) was previously published as Statistics For Dummies, 2nd Edition (9780470911082). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.

The fun and easy way to get down to business with statistics

Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these...
more

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70
At the beginning of the twentieth century, H. G. Wells predicted that statistical thinking would be as necessary for citizenship in a technological world as the ability to read and write. But in the twenty-first century, we are often overwhelmed by a baffling array of percentages and probabilities as we try to navigate in a world dominated by statistics. Cognitive scientist Gerd Gigerenzer says that because we haven't learned statistical thinking, we don't understand risk and uncertainty. In order to assess risk -- everything from the risk of an automobile accident to the certainty or... more

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Don't have time to read the top Statistics books of all time? Read Shortform summaries.

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71

Head First Statistics

Wouldn't it be great if there were a statistics book that made histograms, probability distributions, and chi square analysis more enjoyable than going to the dentist? Head First Statistics brings this typically dry subject to life, teaching you everything you want and need to know about statistics through engaging, interactive, and thought-provoking material, full of puzzles, stories, quizzes, visual aids, and real-world examples.

Whether you're a student, a professional, or just curious about statistical analysis, Head First's brain-friendly formula helps you get a firm...
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72
In The Improbability Principle, the renowned statistician David J. Hand argues that extraordinarily rare events are anything but. In fact, they’re commonplace. Not only that, we should all expect to experience a miracle roughly once every month.
     But Hand is no believer in superstitions, prophecies, or the paranormal. His definition of “miracle” is thoroughly rational. No mystical or supernatural explanation is necessary to understand why someone is lucky enough to win the lottery twice, or is destined to be hit by lightning three times and still survive. All we need, Hand...
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73
Or that Asian Americans are most susceptible to heart attacks on the fourth day of the month? Or that drinking a full pot of coffee every morning will add years to your life, but one cup a day increases the risk of pancreatic cancer? All of these “facts” have been argued with a straight face by credentialed researchers and backed up with reams of data and convincing statistics.


As Nobel Prize–winning economist Ronald Coase once cynically observed, “If you torture data long enough, it will confess.” Lying with statistics is a time-honored con. In Standard Deviations,...
more

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74

Statistics for Experimenters

Design, Innovation, and Discovery

A Classic adapted to modern times

Rewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with examples, readily understood graphics, and the appropriate use of computers. Catalyzing innovation, problem solving, and discovery, the Second Edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge gained from research data, illustrating how these tools may best be utilized during all stages of the investigative process. The authors' practical approach starts with...

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75

The Seven Pillars of Statistical Wisdom

What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics a scientific discipline related to but distinct from mathematics and computer science.

Even the most basic idea aggregation, exemplified by averaging is counterintuitive. It allows one to gain information by discarding information, namely, the individuality of the observations. Stigler s second pillar, information measurement, challenges the importance of big data by noting that observations are not all equally important: the amount of information in a...
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76
A complete guide to the theory and practical applications of probability theory

An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory. Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The book's comprehensive approach...
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77
WHAT ARE THE ODDS YOU'LL WIN THE LOTTERY?


How long will your kids wait in line at Disney World?

Who decides that "standardized tests" are fair?

Why do highway engineers build slow-moving ramps?

What does it mean, statistically, to be an "Average Joe"?

NUMBERS RULE YOUR WORLD
In the popular tradition of eye-opening bestsellers like Freakonomics, The Tipping Point, and Super Crunchers, this fascinating book from renowned statistician and blogger Kaiser Fung takes you inside the hidden world of facts and figures...
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78
What are statistics? How do you think statistically? Worried about the calculations that are associated with statistics? Then this clear and informative book is for you. With it you can prime yourself with the key concepts of statistics before getting involved in the associated calculations. Using words and diagrams instead of figures, formulae and equations, Derek Rowntree makes statistics accessible to those who are non-mathematicians. And just to get you into the spirit of things. Rowntree has included questions in his argument; answer them as you go and you will be able to tell how far... more

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79
Statistical ideas and methods underlie just about every aspect of modern life. From randomized clinical trials in medical research, to statistical models of risk in banking and hedge fund industries, to the statistical tools used to probe vast astronomical databases, the field of statistics has become centrally important to how we understand our world. But the discipline underlying all these is not the dull statistics of the popular imagination. Long gone are the days of manual arithmetic manipulation. Nowadays statistics is a dynamic discipline, revolutionized by the computer, which uses... more

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80

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.

The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from...

more

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Don't have time to read the top Statistics books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

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81

OpenIntro Statistics

The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible. Files for the entire book are freely available at openintro.org, and anybody can purchase a paperback copy from amazon.com for under $10.

The future for OpenIntro depends on the involvement and enthusiasm of our community. Visit our website, openintro.org. We provide...
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82

Discrimination and Disparities

An enlarged edition of Thomas Sowell's brilliant examination of the origins of economic disparities

Economic and other outcomes differ vastly among individuals, groups, and nations. Many explanations have been offered for the differences. Some believe that those with less fortunate outcomes are victims of genetics. Others believe that those who are less fortunate are victims of the more fortunate.



Discrimination and Disparities gathers a wide array of empirical evidence to challenge the idea that different economic outcomes can be...
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83
Does the number of children gunned down double each year? Does anorexia kill 150,000 young women annually? Do white males account for only a sixth of new workers? Startling statistics shape our thinking about social issues. But all too often, these numbers are wrong. This book is a lively guide to spotting bad statistics and learning to think critically about these influential numbers. Damned Lies and Statistics is essential reading for everyone who reads or listens to the news, for students, and for anyone who relies on statistical information to understand social problems.
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Recommended by David Spiegelhalter, and 1 others.

David SpiegelhalterThis is written by a sociologist, so we have moved on from psychology to sociology. I like this book because one of the things that really irritates me as a statistician is when numbers are bandied around as though they are God-given truths and can’t be argued with. There is a nice quote from Joel Best that “all statistics are social products, the results of people’s efforts”. He says you should... (Source)

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84
Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.

But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.

Data science is little more than using straight-forward steps to process raw data into...
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85
In Scorecasting, University of Chicago behavioral economist Tobias Moskowitz teams up with veteran Sports Illustrated writer L. Jon Wertheim to overturn some of the most cherished truisms of sports, and reveal the hidden forces that shape how basketball, baseball, football, and hockey games are played, won and lost.

Drawing from Moskowitz's original research, as well as studies from fellow economists such as bestselling author Richard Thaler, the authors look at: the influence home-field advantage has on the outcomes of games in all sports and why it exists; the surprising truth...
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87
Practical data design tips from a data visualization expert of the modern age Data doesn't decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains... more
Recommended by Roger D. Peng, and 1 others.

Roger D. PengThis book is about how best to present data to other people, what are the tools that you can use, and the types of visualizations that you can make. (Source)

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88

The Tiger That Isn't

Seeing Through a World of Numbers

Numbers have become the all-powerful language of public argument. Too often, that power is abused and the numbers bamboozle. This book shows how to see straight through them - and how to seize the power for yourself. Public spending, health risks, environmental disasters, who is rich, who is poor, Aids or war deaths, pensions, teenage offenders, the best and worst schools and hospitals, immigration - life comes in numbers. The trick to seeing through them is strikingly simple. It is to apply something everyone has - the lessons of their own experience. Using vivid and everyday images and... more

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89

Beautiful Evidence

Science and art have in common intense seeing, the wide-eyed observing that generates visual information. Beautiful Evidence is about how seeing turns into showing, how data and evidence turn into explanation. The book identifies excellent and effective methods for showing nearly every kind of information, suggests many new designs (including sparklines), and provides analytical tools for assessing the credibility of evidence presentations (which are seen from both sides: how to produce and how to consume presentations). For alert consumers of presentations, there are chapters on... more
Recommended by Bret Victor, and 1 others.

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90
This popular text provides an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM). Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can... more
Recommended by André Rupp, and 1 others.

André RuppThis topic, structural equation modelling, represents a very popular, very important family of models. (Source)

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Don't have time to read the top Statistics books of all time? Read Shortform summaries.

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  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.
91

The Foundations of Statistics

Classic analysis of the subject and the development of personal probability; one of the greatest controversies in modern statistcal thought. New preface and new footnotes to 1954 edition, with a supplementary 180-item annotated bibliography by author. Calculus, probability, statistics, and Boolean algebra are recommended.
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Recommended by Graciela Chichilnisky, and 1 others.

Graciela ChichilniskyThis book is by a famous statistician who is now dead. Savage didn’t fall into the trap of DeGroot, who dismissed catastrophic risks. Instead he went to the other extreme. Savage’s approach can focus solely on rare events. So DeGroot underestimates rare events and Savage’s approach (which was very controversial at the time) can underestimate frequent events. That is no good either. (Source)

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92

Chaos

Making a New Science

Few writers distinguish themselves by their ability to write about complicated, even obscure topics clearly and engagingly. In Chaos, James Gleick, a former science writer for the New York Times, shows that he resides in this exclusive category. Here he takes on the job of depicting the first years of the study of chaos--the seemingly random patterns that characterise many natural phenomena.

This is not a purely technical book. Instead, it focuses as much on the scientists studying chaos as on the chaos itself. In the pages of Gleick's book, the reader meets dozens of...

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Recommended by Pedro G Ferreira, Adam Maloof, and 2 others.

Pedro G FerreiraIt turns out that even simple equations can have such complicated behaviour that, in practice, it’s impossible to predict the outcome, which is described as ‘chaotic’. (Source)

Adam MaloofJames Gleick is a former science writer for the New York Times and in this book Gleick describes the science of chaos, and how complex systems can also be interpreted in terms of simple rules and simple (but interacting) behaviours. (Source)

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93
From the world-famous inventor of fractal geometry, a revolutionary new theory that turns on its head our understanding of how markets work. Fractal geometry is the mathematics of roughness: how to reduce the outline of a jagged leaf, a rocky coastline or static in a computer connection to a few simple mathematical properties - to make the complex simple. With his fractal tools, Benoit Mandelbrot has got to the bottom of how financial markets really work. He finds they have a shifting sense of time, a unique dimension and a wild kind of behaviour that makes them volatile, dangerous - and also... more

James Owen WeatherallWhat Mandelbrot realised early on, at the start of the 1960s, was that the kind of assumptions about statistics that everyone was making were wrong. (Source)

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94
Broken up into sections (pitching, fielding, hitting), this authoritative yet fun and easy guide will help readers young and old fully understand and comprehend the statistics that are the present and future of our national pastime.
 
We all know what a .300 hitter looks like. The same with a 20-game winner. Those numbers are ingrained in our brains. But do they mean as much as we think? Do we feel the same way when we hear a batter has a .390 wOBA? How about a pitcher with a 1.2 WHIP? These statistics are the future of modern baseball, and no fan should be in the dark about...
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Recommended by Mark Feinsand, and 1 others.

Mark FeinsandThe King of Dad Jokes has written a book that will help my dad understand analytics. It's great. Go order it now. https://t.co/TufJICONTt (Source)

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95
When Bill James published his original Historical Baseball Abstract in 1985, he produced an immediate classic, hailed by the Chicago Tribune as the “holy book of baseball.” Now, baseball's beloved “Sultan of Stats” (The Boston Globe) is back with a fully revised and updated edition for the new millennium.

Like the original, The New Bill James Historical Baseball Abstract is really several books in one. The Game provides a century's worth of American baseball history, told one decade at a time, with energetic facts and figures about How, Where, and by...
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Recommended by Joe Posnanski, and 1 others.

Joe PosnanskiBill is a very good friend of mine. He was always a baseball fan, but in the 1970s he started looking at baseball and asking all these questions about the game. Was it really the way people described it, in terms of the strategy of the game and the focus of the game? He found that in many, many ways it was not. And he just started writing about it. He’s a brilliant writer. The New Bill James... (Source)

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96

Computer Age Statistical Inference

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian -... more

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97
Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide--updated for Python 3.5 and Pandas 1.0--is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems, using Python libraries such as NumPy, pandas, matplotlib, and IPython.

Written by Wes McKinney, the main author of the pandas library, Python for Data Analysis also serves as a practical, modern introduction to scientific computing in Python for data-intensive...
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98
Nobel laureate Richard H. Thaler has spent his career studying the radical notion that the central agents in the economy are humans—predictable, error-prone individuals. Misbehaving is his arresting, frequently hilarious account of the struggle to bring an academic discipline back down to earth—and change the way we think about economics, ourselves, and our world.

Traditional economics assumes rational actors. Early in his research, Thaler realized these Spock-like automatons were nothing like real people. Whether buying a clock radio, selling basketball tickets, or...
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99

Advanced R

An Essential Reference for Intermediate and Advanced R Programmers

Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R.



The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn:

The fundamentals of R, including standard data types...
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100

Applied Multivariate Statistical Analysis

Johnson (U. of Wisconsin-Madison) and Wichern (Texas A&M U.) present the newest edition of this college text on the statistical methods for describing and analyzing multivariate data, designed for students who have taken two or more statistics courses. The fifth edition includes the addition of seve less

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Don't have time to read the top Statistics books of all time? Read Shortform summaries.

Shortform summaries help you learn 10x faster by:

  • Being comprehensive: you learn the most important points in the book
  • Cutting out the fluff: you focus your time on what's important to know
  • Interactive exercises: apply the book's ideas to your own life with our educators' guidance.