Essentials of Python for Artificial Intelligence and Machine Learning
Pramod Gupta
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Machine Learning : A Probabilistic Perspective
Kevin P. Murphy
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Benny the Blue Whale : A Descent into Story, Language and the Madness of ChatGPT
Andy Stanton
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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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Neural Networks and Deep Learning : A Textbook
Charu C. Aggarwal
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Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing
Michael Robbins
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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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Artificial Intelligence for Scientists and Engineers, Volume 1 : Machine Learning
Jaydip (Praxis Business School (India)) Sen
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Artificial Intelligence for Scientists and Engineers, Volume 2 : Deep Learning
Jaydip (Praxis Business School (India)) Sen
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Quantum Machine Learning : Concepts and Possibilities
Kathleen E. (Oak Ridge National Laboratory (United States)) Hamilton
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Data Analytics for Intelligent Systems : Techniques and solutions
Chhavi (Assistant Professor, Delhi Technological University (I Dhiman
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Mastering Computer Vision with PyTorch and Machine Learning
Caide (Yunyang Medical College, China) Xiao
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Strong Gravitational Lensing in the Era of Big Data (IAU S381)
Hannah (Max Planck Institute for Astrophysics, Germany) Stacey
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Jeffrey A. (University of Michigan, Ann Arbor) Fessler
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Tangles : A Structural Approach to Artificial Intelligence in the Empirical Sciences
Reinhard (Universitat Hamburg) Diestel
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Data Science and Machine Learning for Non-Programmers : Using SAS Enterprise Miner
Dothang Truong
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Machine Learning for Materials Discovery : Numerical Recipes and Practical Applications
N. M. Anoop Krishnan
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Learning Techniques for the Internet of Things
Praveen Kumar Donta
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Communication Efficient Federated Learning for Wireless Networks
Mingzhe Chen
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