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1.
 : Deep Learning with Python
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Deep Learning with Python
by: Francois Chollet
December 22, 2017
 
2.
 : Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
by: Aurélien Géron
April 09, 2017
 
3.
 : Pattern Recognition and Machine Learning (Information Science and Statistics)
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Pattern Recognition and Machine Learning (Information Science and Statistics)
by: Christopher M. Bishop
April 06, 2011
 
4.
 : Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
by: Richard S. Sutton, Andrew G. Barto
March 01, 1998
 
5.
 : The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
by: Trevor Hastie, Robert Tibshirani, Jerome Friedman
2016
 
6.
 : Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning)
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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning)
by: Kevin P. Murphy
August 24, 2012
 
7.
 : Deep Learning with R
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Deep Learning with R
by: Francois Chollet, J. J. Allaire
February 09, 2018
 
8.
 : An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
by: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
September 01, 2017
 
9.
 : Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
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Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
by: Maxim Lapan
June 21, 2018
 
10.
 : Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning)
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Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning)
by: Daphne Koller, Nir Friedman
July 31, 2009