unpingco/Python-for-Probability-Statistics-and-Machine-Learning-2E
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
This project provides a comprehensive guide and runnable Python code to understand the core ideas linking probability, statistics, and machine learning. It takes theoretical concepts and illustrates them with practical examples and code, showing how to implement various analytical methods. This resource is for students, researchers, or practitioners with an undergraduate background in probability, statistics, or machine learning, who also have basic Python skills.
373 stars. No commits in the last 6 months.
Use this if you want to deepen your understanding of machine learning by connecting mathematical theories to concrete Python implementations and visual examples.
Not ideal if you are looking for an advanced reference purely on cutting-edge deep learning techniques without a foundational review of probability and statistics.
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Sep 21, 2021
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