GitHub - runboyuu/ML_Books-Notes: Some reference books for foundational machine learning.

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Some reference books for foundational machine learning.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
CS229T_StatisticalLearningTheory(Winter2016).pdf		CS229T_StatisticalLearningTheory(Winter2016).pdf
DL花书_en.pdf		DL花书_en.pdf
Deep Generative Modeling.pdf		Deep Generative Modeling.pdf
Foundations-of-Machine-Learning.pdf		Foundations-of-Machine-Learning.pdf
Functional Analysis for Probability and Stochastic Processes An Introduction (Adam Bobrowski) (Z-Library).pdf		Functional Analysis for Probability and Stochastic Processes An Introduction (Adam Bobrowski) (Z-Library).pdf
Functional_Analysis_Notes.pdf		Functional_Analysis_Notes.pdf
GTM274_Stochastic_Analysis.pdf		GTM274_Stochastic_Analysis.pdf
High-Dimensional Statistics A Non-Asymptotic Viewpoint (Martin J. Wainwright) (Z-Library).pdf		High-Dimensional Statistics A Non-Asymptotic Viewpoint (Martin J. Wainwright) (Z-Library).pdf
Measure.Theory.Tao.pdf		Measure.Theory.Tao.pdf
Measure_Theory_Probability_and_Stochastic_Processes.pdf		Measure_Theory_Probability_and_Stochastic_Processes.pdf
Optimization in Vector Spaces - Luenberger.pdf		Optimization in Vector Spaces - Luenberger.pdf
Probability_Theory_and_Examples.pdf		Probability_Theory_and_Examples.pdf
Real Analysis Stein.pdf		Real Analysis Stein.pdf
Statistical Learning with Sparsity The Lasso and Generalizations (Trevor Hastie, Robert Tibshirani etc.) (Z-Library).pdf		Statistical Learning with Sparsity The Lasso and Generalizations (Trevor Hastie, Robert Tibshirani etc.) (Z-Library).pdf
TutorialonDiffusionModelsforImagingandVision.pdf		TutorialonDiffusionModelsforImagingandVision.pdf
cs229m_notes.pdf		cs229m_notes.pdf
understanding-machine-learning-theory-algorithms.pdf		understanding-machine-learning-theory-algorithms.pdf

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