Introduction to Machine Learning
Ethem (Ozyegin University) Alpaydin
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The Theory and Practice of Enterprise AI : Recipes and Reference Implementations for Marketing, Supply Chain, and Production Operations
Ilya Katsov
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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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The Deep Learning Revolution
Terrence J. (Francis Crick Professor, Salk Institute for Bi Sejnowski
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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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The Promise of Artificial Intelligence : Reckoning and Judgment
Brian Cantwell (University of Toronto) Smith
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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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Machine Learning Refined : Foundations, Algorithms, and Applications
Jeremy (Northwestern University, Illinois) Watt
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Machine Learning : A Bayesian and Optimization Perspective
Sergios (professor of machine learning and signal process Theodoridis
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Bandit Algorithms
Tor (University of Alberta) Lattimore
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Deep Learning on Graphs
Yao (Michigan State University) Ma
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Computer Vision : Algorithms and Applications
Richard Szeliski
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Machine Learning in Asset Pricing
Stefan Nagel
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Patterns, Predictions, and Actions : Foundations of Machine Learning
Moritz Hardt
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Data Mining and Machine Learning : Fundamental Concepts and Algorithms
Mohammed J. (Rensselaer Polytechnic Institute, New York) Zaki
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Mining of Massive Datasets
Jure (Stanford University, California) Leskovec
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High-Dimensional Data Analysis with Low-Dimensional Models : Principles, Computation, and Applications
John (Columbia University, New York) Wright
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Topological Data Analysis with Applications
Gunnar (Stanford University, California) Carlsson
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Machine Learning : A First Course for Engineers and Scientists
Andreas Lindholm
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How to Be Human in the Digital Economy
Nicholas (Professor, Victoria University of Wellington) Agar
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Introduction to Deep Learning
Eugene (Brown University) Charniak
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Mathematical Aspects of Deep Learning
Philipp (Universitat Wien, Austria) Grohs
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