Pattern Recognition and Machine Learning
Ranked #4 in Machine Learning, Ranked #13 in Deep Learning — see more rankings.
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
Rankings by Category
Pattern Recognition and Machine Learning is ranked in the following categories:
- #49 in Algorithms
- #27 in Artificial Intelligence
- #66 in Big Data
- #19 in Bioinformatics
- #68 in Computer Graphics
- #59 in Computer Science
- #15 in Data Mining
- #21 in Data Science
- #45 in Pattern
- #47 in Probability
- #36 in Statistics
- #75 in Technical
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