yhangf/ML-NOTE

:orange_book:慢慢整理所学的机器学习算法,并根据自己所理解的样子叙述出来。(注重数学推导)

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Established

This resource helps machine learning practitioners deepen their understanding of fundamental algorithms. It provides detailed mathematical derivations and explanations for various machine learning models. The output is a clearer conceptual grasp and theoretical foundation, benefiting data scientists, machine learning engineers, and researchers.

675 stars. No commits in the last 6 months.

Use this if you need to understand the 'why' and 'how' behind machine learning algorithms, focusing on their mathematical underpinnings.

Not ideal if you're looking for practical code implementations, high-level overviews, or a quick-start guide to applying ML models without delving into theory.

machine-learning-theory data-science-education algorithm-analysis statistical-learning mathematical-modeling
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

675

Forks

138

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License

MIT

Last pushed

Dec 04, 2022

Commits (30d)

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