The Best-Selling Learning Algorithms Books of All Time

Discover the learning algorithms best sellers recommended by leaders and readers worldwide

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Recommendations by Dj Patil, Kirk Borne, Francesco Marconi, Mark Tabladillo and 33 others

Not sure what to read? Our AI can suggest the most recommended Learning Algorithms books!

1
Book Cover of Pedro Domingos - The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

By Pedro Domingos – Professor of Computer Science, University of Washington 

4.62
| 2015 | 352 Pages
Recommended for: 
Students and professionals in technology. Ages 12 to Adults.
You will:
  • Learn the fundamental concepts of machine learning and its various approaches.
  • Discover how machine learning impacts business and society today.
  • Understand the philosophical implications of AI and machine learning.
  • Explore the historical development of algorithms and their future potential.
  • Gain insights into the ethical considerations surrounding AI technologies.
Reviews:
Readable
Comprehensive
Engaging
Thought-Provoking
Well-Explained
Complexity
Dense Prose
  • New York Times Bestseller
  • Editors' pick Best Nonfiction
Recommended by Daniel Rodríguez Baleato
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2
Book Cover of Michael J. Kearns, Umesh Vazirani - An Introduction to Computational Learning Theory
4.18
| 1994 | 221 Pages
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Learning Algorithms Book made by AI

By TailoredRead – AI that creates personalized books for you 

4.98
| 2025 | 30-300 pages
Learn Learning Algorithms faster with a book created specifically for you by state-of-the-art AI. Our AI has vast knowledge of Learning Algorithms, and will craft a custom-tailored book for you in just 10 minutes. This tailored book addresses YOUR unique interests, goals, knowledge level, and background. Available for online reading, PDF download, and Kindle, your custom book will provide personalized insights to help you learn faster, expand your horizons, and accomplish your goals. Embark on your Learning Algorithms learning journey with a personalized book - made exclusively for you.
Recommended for: 
All readers across all knowledge levels.
You will:
  • Get a Learning Algorithms book tailored to your interests, goals, and background
  • Receive a book precisely matching your background and level of knowledge
  • Select which topics you want to learn, exclude the topics you don't
  • Define your learning goals and let your book guide you to accomplish them
  • Get all the knowledge you need consolidated into a single focused book
Reviews:
Insightful
Focused
Highly Personalized
Easy to Read
Engaging
Actionable
Up-to-Date
3
Book Cover of Richard S. Sutton, Andrew G. Barto - Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)

By Richard S. Sutton – Senior Research Scientist, Department of Computer Science and 1 more 

4.54
| 1998 | 322 Pages
Recommended for: 
Students and professionals in AI. Ages 12 to Adults.
You will:
  • Learn key concepts of reinforcement learning and its applications in AI.
  • Discover various algorithms used in reinforcement learning, including dynamic programming.
  • Understand the exploration-exploitation tradeoff in reinforcement learning scenarios.
  • Explore case studies that illustrate practical applications of reinforcement learning.
  • Gain insights into the historical development and future directions of reinforcement learning.
Reviews:
Clear Explanations
Easy to Understand
Comprehensive Coverage
Practical Examples
Readable
Repetitive
Outdated
  • New York Times Bestseller
  • Rated Amazon Best Book of the Year
Recommended by Mike James
Mike JamesThis is a groundbreaking work, dealing with a subject that you would have expected to have been sorted out right at the start of AI... This isn't a simple theory but many of the ideas and methods are practically useful and if you have an interest in neural networks or learning systems then you need to study this book for the six months it deserves!
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