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Pattern Recognition and Machine Learning - Christopher M. Bishop

Hands-On Machine Learning with Scikit-Learn and TensorFlow

Probabilistic Machine Learning for Finance and Investing - Deepak K. Kanungo

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3nd Edition - Aurélien Géron

Graph-Powered Analytics and Machine Learning with TigerGraph - Victor Lee, Phuc Kien Nguyen, and Alexander Thomas

Python Machine Learning 3rd Edition - Sebastian Raschka and Vahid Mirjalili

Practical Machine Learning with H2O - Darren Cook

Practical Simulations for Machine Learning - Paris and Mars Buttfield-Addison, Tim Nugent, and Jon Manning

Angular and Machine Learning Pocket Primer

Machine Learning: A Probabilistic Perspective - Kevin P. Murphy

The Universal Machine: Confessions of a Technological Optimist

Real-World Machine Learning - Henrik Brink, Joseph W. Richards and Mark Fetherolf

Practical Machine Learning for Computer Vision - Valliappa Lakshmanan, Martin Görner, and Ryan Gillard

花园里的机器:美国的技术与田园理想=The Machine in the Garden: Technology and the Pastoral Ideal in America

Machine Learning: An Algorithmic Perspective - Ralf Herbrich and Thore Graepel

Building Machine Learning Powered Applications - Emmanuel Ameisen

Computer Lib/Dream Machines

Distributed Machine Learning Patterns - Yuan Tang

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