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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
TranslatedGrowth Engineering: The Definitive Guide. A guide for full-stack growth engineers
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
TranslatedStatistical learning methods, Statistical Learning Methods (2nd edition) [Li Hang] [notes, code, notebook, references, Errata, lihang]
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Text and supporting code for Think Stats, 2nd Edition
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
Code repository for O'Reilly book
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
Statistical Analysis of Network Data with R, 2nd Edition
open source E-book on statistical physics
Functional Data Structures and Algorithms in SSReflect [maintainer=@clayrat]