Benny the Blue Whale : A Descent into Story, Language and the Madness of ChatGPT
Andy Stanton
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Machine Learning : A Probabilistic Perspective
Kevin P. Murphy
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A Brief History of Intelligence : Why the Evolution of the Brain Holds the Key to the Future of Ai
Max Bennett
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Model-Based Machine Learning
John (Microsoft Research Ltd., Cambridge, United Kingdom) Winn
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Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing
Michael Robbins
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Neural Networks and Deep Learning : A Textbook
Charu C. Aggarwal
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Time Series for Data Scientists : Data Management, Description, Modeling and Forecasting
Juana (University of California, Los Angeles) Sanchez
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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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How to Speak Whale : A Voyage into the Future of Animal Communication
Tom Mustill
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Gaussian Processes for Machine Learning
Carl Edward (University of Cambridge) Rasmussen
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Probabilistic Graphical Models : Principles and Techniques
Daphne (Stanford University) Koller
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Advances in Financial Machine Learning
Marcos Lopez de Prado
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Machine Learning : An Algorithmic Perspective, Second Edition
Stephen (Massey University, Palmerston North, New Zealand) Marsland
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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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Bayesian Reasoning and Machine Learning
David (University College London) Barber
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All-in On AI : How Smart Companies Win Big with Artificial Intelligence
Thomas H. Davenport
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Algorithms for Optimization
Mykel J. (Stanford University) Kochenderfer
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How to Speak Machine : Laws of Design for a Digital Age
John Maeda
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Elements of Causal Inference : Foundations and Learning Algorithms
Jonas (Associate Professor of Statistics, University of Copenh Peters
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Automata and Computability
Dexter C. Kozen
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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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