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Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
By:
Aurélien Géron
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Deep Learning (ebook)
By:
Ian Goodfellow
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Pattern Recognition and Machine Learning (Information Science and Statistics)
By:
Christopher M. Bishop
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Hardcover)
By:
Trevor Hastie
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The Hundred-Page Machine Learning Book (Paperback)
By:
Andriy Burkov
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
By:
Chip Huyen
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Machine Learning: A Probabilistic Perspective (Hardcover)
By:
Kevin P. Murphy
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Deep Learning with Python (Paperback)
By:
François Chollet
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
By:
Gareth James
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Artificial Intelligence: A Modern Approach (Hardcover)
By:
Stuart Russell
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Machine Learning Yearning (ebook)
By:
Andrew Ng
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
By:
Richard S. Sutton
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Python Machine Learning (Paperback)
By:
Sebastian Raschka
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Mathematics for Machine Learning: 1st Edition (Kindle Edition)
By:
Marc Peter Deisenroth
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Information Theory, Inference, and Learning Algorithms (Paperback)
By:
David J.C. MacKay
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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (Paperback)
By:
Valliappa Lakshmanan
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Building Machine Learning Powered Applications: Going from Idea to Product (Paperback)
By:
Emmanuel Ameisen
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Neural Networks and Deep Learning (ebook)
By:
Michael Nielsen
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Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
By:
Andreas C. Müller
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Understanding Machine Learning (Hardcover)
By:
Shai Shalev-Shwartz
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Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD (Paperback)
By:
Jeremy Howard
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Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
By:
Jake VanderPlas
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The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Hardcover)
By:
Pedro Domingos
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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python (Paperback)
By:
Sebastian Raschka
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Machine Learning (McGraw-Hill International Editions Computer Science Series)
By:
Tom M. Mitchell
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Why Machines Learn: The Elegant Math Behind Modern AI (Hardcover)
By:
Anil Ananthaswamy
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The StatQuest Illustrated Guide To Machine Learning (Kindle Edition)
By:
Josh Starmer
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Understanding Deep Learning (Kindle Edition)
By:
Simon J.D. Prince
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Machine Learning Engineering (Hardcover)
By:
Andriy Burkov
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Grokking Deep Learning (ebook)
By:
Andrew W. Trask
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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
By:
Kevin P. Murphy
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Advances in Financial Machine Learning (Kindle Edition)
By:
Marcos López de Prado
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Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play (Paperback)
By:
David Foster
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Applied Predictive Modeling (Hardcover)
By:
Max Kuhn
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Machine Learning for Hackers (Paperback)
By:
Drew Conway
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Build a Large Language Model (From Scratch)
By:
Sebastian Raschka
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The State and Revolution (Paperback)
By:
Vladimir Lenin
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Convex Optimization (Hardcover)
By:
Stephen Boyd
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Deep Learning: Foundations and Concepts (Hardcover)
By:
Christopher M. Bishop
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Machine Learning System Design Interview (Paperback)
By:
Ali Aminian
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Interpretable Machine Learning (Unknown Binding)
By:
Christoph Molnar
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Imperialism: The Highest Stage of Capitalism (Paperback)
By:
Vladimir Lenin
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Designing Data-Intensive Applications (ebook)
By:
Martin Kleppmann
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What Is to Be Done? (Paperback)
By:
Vladimir Lenin
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Learning From Data: A Short Course (Hardcover)
By:
Yaser S. Abu-Mostafa
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Foundations of Machine Learning (Hardcover)
By:
Mehryar Mohri
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
By:
Larry Wasserman
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Machine Learning in Action (Paperback)
By:
Peter Harrington