Introduction to Machine Learning with Python
A Guide for Data Scientists
Recommended by Francesco Marconi, and 1 others. See all reviewsRanked #5 in Natural Language Processing, Ranked #10 in HTTP — see more rankings.
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.
You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the... more
You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the... more
Reviews and Recommendations
We've comprehensively compiled reviews of Introduction to Machine Learning with Python from the world's leading experts.
Francesco Marconi Top programming languages ranked by its annual search engine popularity. Python has gained momentum because of its importance to machine learning development. At @WSJ we are using it to build tools for journalists. Tip: this is a great book for anyone who wants to get started! https://t.co/ZsHjqB5gvC (Source)
Rankings by Category
Introduction to Machine Learning with Python is ranked in the following categories:
- #85 in Algorithms
- #39 in Data Science
- #40 in Deep Learning
- #11 in Machine Learning
- #23 in Python
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