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Probabilistic Machine Learning: Advanced Topics [Kevin P. Murphy] - The MIT Press (2023).pdf 152.3 MB
Probabilistic Machine Learning: An Introduction [Kevin P. Murphy] - The MIT Press (2022).pdf 84.2 MB
Michael I. Jordan (Editor) - Learning in Graphical Models (Adaptive Computation and Machine Learning) (1998).pdf 59.6 MB
Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai - Machine Learning from Weak Supervision_ An Empirical Risk Minimization Approach (2022, The MIT Press) - li.pdf 38.9 MB
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Machine Learning: A Probabilistic Perspective [Kevin P. Murphy] - The MIT Press (2012).pdf 26.9 MB
Gilbert Strang - Linear Algebra and Learning from Data (2019, Wellesley-Cambridge Press).pdf 26.3 MB
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar - Foundations of Machine Learning, Second Edition [2nd Ed] (Instructor Res. n. 2 of 3, Lectures) (2018, The MIT Press) - .7z 25.2 MB
Jonas Peters, Dominik Janzing, Bernhard Schölkopf - Elements of Causal Inference_ Foundations and Learning Algorithms-The MIT Press (2017).pdf 22.0 MB
Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer, Francis Bach - Machine Learning for Data Streams_ with Practical Examples in MOA.pdf 21.9 MB
An Introduction to Statistical Learning With Applications in Python [Robert Tibshirani,Jonathan Taylor] First Print July 2023.pdf 20.1 MB
Deep learning [Yoshua Bengio,Aaron Courville, Ian Goodfellow] - The MIT Press (2016) .pdf 19.3 MB
Pattern Recognition and Machine Learning [Christopher Bishop] (2006).pdf 18.1 MB
Freund, Yoav_Schapire, Robert E - Boosting foundations and algorithms-MIT Press (2012).pdf 16.3 MB
Elad Hazan - Introduction to Online Convex Optimization-The MIT Press (2022).epub 15.2 MB
Marc G. Bellemare - Distributional Reinforcement Learning - MIT Press (2023).epub 14.0 MB
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[Springer Series in Statistics] Trevor Hastie, Robert Tibshirani, Jerome Friedman - The Elements of Statistical Learning_ Data Mining, Inference, and Prediction. (2013, Springer).pdf 13.3 MB
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【文档书籍】 Starmer J. The StatQuest Illustrated Guide To Machine Learn.2022

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37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
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~Get Your Files Here !/08 - Automatic Differentiation/006 Machine Learning with Autodiff.mp4 223.5 MB
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