Machine Learning : A Probabilistic Perspective
Kevin P. Murphy
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Building Knowledge Graphs : A Practitioner's Guide
Jesus Barrasa
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Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
Sam Lau
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Model-Based Machine Learning
John (Microsoft Research Ltd., Cambridge, United Kingdom) Winn
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Neural Networks and Deep Learning : A Textbook
Charu C. Aggarwal
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Machine Learning for Factor Investing : Python Version
Guillaume Coqueret
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Machine Learning with Noisy Labels : Definitions, Theory, Techniques and Solutions
Gustavo (Professor of AI and Machine Learning, Centre for Vi Carneiro
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Reinforcement Learning : An Introduction
Richard S. (University of Alberta) Sutton
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Deep Learning
Ian (Senior Research Scientist, OpenAI) Goodfellow
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Probabilistic Graphical Models : Principles and Techniques
Daphne (Stanford University) Koller
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Machine Learning : An Algorithmic Perspective, Second Edition
Stephen (Massey University, Palmerston North, New Zealand) Marsland
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Bayesian Reasoning and Machine Learning
David (University College London) Barber
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Algorithms for Optimization
Mykel J. (Stanford University) Kochenderfer
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A First Course in Machine Learning
Simon Rogers
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Understanding Machine Learning : From Theory to Algorithms
Shai (Hebrew University of Jerusalem) Shalev-Shwartz
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Fundamentals of Machine Learning for Predictive Data Analytics
John D. Kelleher
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Introduction to Machine Learning
Ethem (Ozyegin University) Alpaydin
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Reasoning about Uncertainty
Joseph Y. (Cornell University) Halpern
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Probabilistic Reasoning in Intelligent Systems : Networks of Plausible Inference
Judea Pearl
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Foundations of Machine Learning
Mehryar (New York University) Mohri
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Decision Making Under Uncertainty : Theory and Application
Mykel J. (Stanford University) Kochenderfer
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Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control
Steven L. (University of Washington) Brunton
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Introduction to AI Robotics
Robin R. (Raytheon Professor of Computer Science & Engineering Murphy
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Introduction to Machine Learning with Applications in Information Security
Mark Stamp
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