AI for Games, Third Edition
Ian Millington
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Practical MLOps : Operationalizing Machine Learning Models
Noah Gift
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Introduction to AI Robotics
Robin R. (Raytheon Professor of Computer Science & Engineering Murphy
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Computer Vision: A Modern Approach : International Edition
David Forsyth
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Machine Learning Refined : Foundations, Algorithms, and Applications
Jeremy (Northwestern University, Illinois) Watt
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Introduction to Machine Learning with Applications in Information Security
Mark Stamp
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The Principles of Deep Learning Theory : An Effective Theory Approach to Understanding Neural Networks
Daniel A. (Massachusetts Institute of Technology) Roberts
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Machine Learning : A Bayesian and Optimization Perspective
Sergios (professor of machine learning and signal process Theodoridis
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Data Mining : Concepts and Techniques
Jiawei (Professor, Department of Computer ScienceUniversity of Il Han
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Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data, Updated Edition
Zeljko Ivezic
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Computational Intelligence : An Introduction
Andries P. (University of Pretoria, South Africa) Engelbrecht
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Data Matching : Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection
Peter Christen
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Natural Language Processing with Transformers, Revised Edition
Lewis Tunstall
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Machine Learning for Factor Investing: R Version
Guillaume Coqueret
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Statistical Mechanics of Learning
A. (Otto-von-Guericke-Universitat Magdeburg, Germany) Engel
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Computer Vision : Algorithms and Applications
Richard Szeliski
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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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From Neuron to Cognition via Computational Neuroscience
Michael A. (University Professor, University of Southern Califo Arbib
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Recommender Systems : An Introduction
Dietmar Jannach
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Machine Learning : A First Course for Engineers and Scientists
Andreas Lindholm
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Mathematical Aspects of Deep Learning
Philipp (Universitat Wien, Austria) Grohs
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Probabilistic Numerics : Computation as Machine Learning
Philipp (Eberhard-Karls-Universitat Tubingen, Germany) Hennig
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