Machine learning artificial intelligence books collection Jonas Peters Dominik Janzing Bernhard Schölkopf Elements of Causal Inference Foundations and Learning Algorithms The MIT Press 2017 pdf

Machine learning artificial intelligence books collection
Jonas Peters Dominik Janzing Bernhard Schölkopf Elements of Causal Inference Foundations and Learning Algorithms The MIT Press 2017 pdf

Name	machine learning artificial intelligence books collection	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	761.5 MB
Total Files	77
Last Seen	2025-05-08 23:43
Hash	34A485F6415E9B32200ADABC7EF8FF84BB493FA5

/Jonas Peters, Dominik Janzing, Bernhard Schölkopf - Elements of Causal Inference_ Foundations and Learning Algorithms-The MIT Press (2017).pdf	22.0 MB
/Freund, Yoav_Schapire, Robert E - Boosting foundations and algorithms-MIT Press (2012).pdf	16.3 MB
/Pierre Baldi, Soren Brunak - Bioinformatics_ the machine learning approach-The MIT Press (2001).pdf	3.4 MB
/Mehryar Mohri_ Afshin Rostamizadeh_ Ameet Talwalkar - Foundations of Machine Learning (2018, The MIT Press).pdf	8.7 MB
/Peter D. Grunwald, Jorma Rissanen - The minimum description length principle-MIT Press (2007).pdf	3.2 MB
/Peter Spirtes, Clark Glymour, Richard Scheines - Causation, Prediction, and Search, Second Edition (2001, The MIT Press).pdf	3.3 MB
/Probabilistic Machine Learning: An Introduction [Kevin P. Murphy] - The MIT Press (2022).pdf	84.2 MB
/Probabilistic Machine Learning: Advanced Topics [Kevin P. Murphy] - The MIT Press (2023).pdf	152.3 MB
/Probabilistic Machine Learning: An Introduction [Kevin P. Murphy] (Instructor's Solution Manual) - The MIT Press (2022).pdf	629.4 KB
/Machine Learning: A Probabilistic Perspective (Instructor's Solution Manual) [Kevin P. Murphy] - The MIT Press (2012).pdf	1.8 MB
/Carl Edward Rasmussen, Christopher K. I. Williams - Gaussian Processes for Machine Learning (2006, MIT Press).pdf	2.8 MB
/Daphne Koller, Nir Friedman - Probabilistic Graphical Models_ Principles and Techniques (2009, The MIT Press).pdf	8.9 MB
/David J. Hand, Heikki Mannila, Padhraic Smyth - Principles of data mining-MIT Press (2001).djvu	4.9 MB
/Deep learning [Yoshua Bengio,Aaron Courville, Ian Goodfellow] - The MIT Press (2016) .pdf	19.3 MB
/Machine Learning: A Probabilistic Perspective [Kevin P. Murphy] - The MIT Press (2012).pdf	26.9 MB
Showing first 15 files of 77 total files