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

Beginning Machine Learning in iOS

Graph-Powered Machine Learning - Alessandro Negro

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

Deep Belief Nets in C++ and CUDA C volume 1 Restricted Boltzmann Machines and Supervised Feedforward Networks

Machine Learning and Data Science Blueprints for Finance - Hariom Tatsat, Sahil Puri, and Brad Lookabaugh

Computer Lib/Dream Machines

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow 2nd Edition - Aurélien Géron

Applied Machine Learning and AI for Engineers - Jeff Prosise

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

Scaling Up Machine Learning - Ron Bekkerman, Mikhail Bilenko and John Langford

Kubeflow for Machine Learning - Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu and Ilan Filonenko

Machine Learning Engineering in Action - Ben Wilson

机器学习基础教程: A First Course in Machine Learning

Training Data for Machine Learning - Anthony Sarkis

Fundamentals of Machine Learning for Predictive Data Analytics

Managing Machine Learning Projects - Simon Thompson

Machine Learning with Tensorflow - Nishant Shukla

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