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Amazon Top 20 Books in AI & Machine Learning


These are the most popular AI & machine learning books on Amazon. Have a look... you may find something of interest here.



By Matthew Mayo.

The recent explosion of interest in data science, data mining, and related disciplines has been mirrored by an explosion in book titles on these same topics. One of the best ways to decide which books could be useful for your career is to look at which books others are reading.

This post details the 20 most popular titles in Amazon's AI & Machine Learning Books category as of Oct 31, 2015.

Note: KDnuggets gets absolutely no royalties from Amazon - this list is presented only to help our readers evaluate interesting books.

amazon-ai-machine-learning-bestsellers-20151031 1. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
by Pedro Domingos
4.0 out of 5 stars (16 reviews)
Hardcover, $19.22

2. Design Patterns: Elements of Reusable Object-Oriented Software
by Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides
4.5 out of 5 stars (415 reviews)
Hardcover, $40.98

3. Gödel, Escher, Bach: An Eternal Golden Braid
by Douglas R. Hofstadter
4.5 out of 5 stars (397 reviews)
Paperback, $16.54

4. Amazon Echo: Master Your Amazon Echo; User Guide and Manual
by Andrew Mckinnon
4.0 out of 5 stars (287 reviews)
Paperback, $12.92

5. Code: The Hidden Language of Computer Hardware and Software
by Charles Petzold
4.7 out of 5 stars (270 reviews)
Paperback, $17.69

6. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
by Pedro Domingos
4.0 out of 5 stars (16 reviews)
Audible, $17.95

7. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
by Pedro Domingos
4.0 out of 5 stars (16 reviews)
Kindle, $10.86

8. Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
3.9 out of 5 stars (200 reviews)
Audible, $21.95

9. Data Smart: Using Data Science to Transform Information into Insight
by John W. Foreman
4.8 out of 5 stars (81 reviews)
Paperback, $27.48

10. Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
3.9 out of 5 stars (200 reviews)
Hardcover, $21.65

11. Superintelligence: Paths, Dangers, Strategies
by Nick Bostrom
3.9 out of 5 stars (200 reviews)
Kindle, $7.60

12. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by Trevor Hastie, Robert Tibshirani, Jerome Friedman
4.2 out of 5 stars (57 reviews)
Hardcover, $59.96

13. The Naked Sun (The Robot Series Book 2)
by Isaac Asimov
4.6 out of 5 stars (204 reviews)
Kindle, $7.88

14. Learning From Data
by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin
4.6 out of 5 stars (92 reviews)
Hardcover, $28.00 (and up)

15. An Introduction to Statistical Learning: with Applications in R
by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
4.9 out of 5 stars (78 reviews)
Hardcover, $73.58

16. Python Machine Learning
by Sebastian Raschka
4.9 out of 5 stars (9 reviews)
Paperback, $40.49

17. Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence
by Jerry Kaplan
4.5 out of 5 stars (34 reviews)
Hardcover, $23.33

18. Python Machine Learning
by Sebastian Raschka
4.9 out of 5 stars (9 reviews)
Kindle edition, $32.39

19. Machine Learning: The Art and Science of Algorithms that Make Sense of Data
by Peter Flach
4.4 out of 5 stars (17 reviews)
Paperback, $54.40

20. What to Think About Machines That Think: Today's Leading Thinkers on the Age of Machine Intelligence
by John Brockman
3.0 out of 5 stars (3 reviews)
Paperback, $10.87

Bio: Matthew Mayo is a computer science graduate student currently working on his thesis parallelizing machine learning algorithms. He is also a student of data mining, a data enthusiast, and an aspiring machine learning scientist.

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