Title: Deep Learning, Author: Ian Goodfellow
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction / Edition 2, Author: Trevor Hastie
Title: Biomechanics and Motor Control: Defining Central Concepts, Author: Mark L. Latash PhD
Title: Pattern Recognition and Machine Learning / Edition 1, Author: Christopher M. Bishop
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Linear Algebra and Optimization for Machine Learning: A Textbook, Author: Charu C. Aggarwal
Title: Understanding Machine Learning: From Theory to Algorithms, Author: Shai Shalev-Shwartz
Title: Computer Vision: Algorithms and Applications / Edition 2, Author: Richard Szeliski
Title: Foundations of Machine Learning, second edition / Edition 2, Author: Mehryar Mohri
Title: Mathematics for Machine Learning, Author: Marc Peter Deisenroth
Title: Introduction to Machine Learning, fourth edition / Edition 4, Author: Ethem Alpaydin
Title: Elements of Causal Inference: Foundations and Learning Algorithms, Author: Jonas Peters
Title: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Author: Yoav Shoham
Title: Algorithms for Optimization, Author: Mykel J. Kochenderfer
Title: Algebraic Geometry and Statistical Learning Theory, Author: Sumio Watanabe
Title: The Aesthetic Brain: How We Evolved to Desire Beauty and Enjoy Art, Author: Anjan Chatterjee
Title: Probabilistic Graphical Models: Principles and Techniques, Author: Daphne Koller
Title: Decision Making Under Uncertainty: Theory and Application, Author: Mykel J. Kochenderfer
Title: Handbook of Computational Social Choice, Author: Felix Brandt
Title: Varieties of Presence, Author: Alva Noë

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