Machine Learning

Learning more like a human: 18 free eBooks on Machine Learning

Machine Learning is a type of artificial intelligence (AI) that provides computer programs with the ability to learn, grow and change when exposed to new data, without being explicitly programmed. The process of Machine Learning is similar to that of data mining. Both systems search through data to look for patterns. However, instead of extracting data for human comprehension — as is the case in data mining applications — machine learning uses that data to improve the program’s own understanding. Machine Learning programs detect patterns in data and adjust program actions accordingly. Here, we present 20 free eBooks on Machine Learning, which will guide you to understand more about Machine Learning.

1. A Course in Machine Learning by Hal Daumé III
2. A First Encounter with Machine Learning by Max Welling
3. An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
4. Bayesian Reasoning and Machine Learning by David Barber
5. Gaussian Processes for Machine Learning by Carl Edward Rasmussen and Christopher K. I. Williams
6. How Are We To Know? by Nils J. Nilsson
7. Inductive Logic Programming Techniques and Applications by Nada Lavrac and Saso Dzeroski
8. Inductive Logic Programming: Techniques and Applications by Nada Lavrac, Saso Dzeroski
9. Information Theory, Inference, and Learning Algorithms by David J.C. MacKay
10. Introduction to Machine Learning by Amnon Shashua
11. Introduction To Machine Learning by Nils J Nilsson
12. Machine Learning by Abdelhamid Mellouk and Abdennacer Chebira
13. Machine Learning plus Intelligent Optimization by Roberto Battiti, Mauro Brunato
14. Machine Learning, Neural and Statistical Classification by D. Michie, D.J. Spiegelhalter, C.C. Taylor
15. Practical Artificial Intelligence Programming in Java by Mark Watson
16. Reinforcement Learning by C. Weber, M. Elshaw, N. M. Mayer
17. Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
18. The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, Jerome Fried

6 Comments
  1. g 6 months ago
    Reply

    Quality articles or reviews is the crucial to attract the visitors to
    go to see the website, that’s what this site
    is providing.

  2. Great article, exactly what I needed.

  3. quest bars cheap 3 months ago
    Reply

    It’s amazing to go to see this web page and reading the views of all colleagues about this
    post, while I am also keen of getting experience.

  4. quest bars cheap 3 months ago
    Reply

    If some one wants to be updated with most recent technologies
    afterward he must be visit this web site and be up to date every day.

  5. geometry dash 4 weeks ago
    Reply

    Thank you for sharing this great post, I am very impressed with your post, the information given is very meticulous and understandable. I will regularly follow your next post.

  6. What’s up, yes this paragraph is genuinely fastidious and I have learned
    lot of things from it concerning blogging. thanks.

Leave a Comment

Your email address will not be published.

You may also like

Pin It on Pinterest