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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
A practical, project-driven introduction to machine learning and deep learning with Python
2022
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📚 Topic
AI Learning
13 books
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Designing Machine Learning Systems
An Iterative Process for Production-Ready Machine Learning Applications
by Chip Huyen
2022
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Probabilistic Machine Learning
A rigorous foundation in Bayesian reasoning, probabilistic models, and modern machine learning methods
2022
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Artificial Intelligence: A Modern Approach, Global Edition
The definitive textbook on intelligent systems, from foundational search and logic to modern machine learning and probabilistic reasoning
by Peter Norvig, Stuart Russell
2021
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AI and Machine Learning for Coders
A Programmer's Guide to Building AI and Machine Learning Models with TensorFlow
2020
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Grokking Artificial Intelligence Algorithms
A visual, intuitive introduction to core AI algorithms for developers and curious minds
2020
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The Hundred-page Machine Learning Book
A concise, practical introduction to core machine learning concepts for engineers and analysts
2019
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Deep Learning
The definitive textbook on neural networks and deep learning theory, from foundational math to modern architectures
by Aaron Courville, Ian Goodfellow, Yoshua Bengio
2016
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Pattern Recognition and Machine Learning
A rigorous probabilistic treatment of machine learning and statistical pattern recognition
2016
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Make Your Own Neural Network
A step-by-step guide to building neural networks from scratch in Python
by Tariq Rashid
2016
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Python Machine Learning
A practical guide to building machine learning systems with Python, scikit-learn, and the fundamentals of deep learning
2015
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Superintelligence
Paths, Dangers, Strategies for the Age of Machine Intelligence
by Nick Bostrom
2014
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