Difference between revisions of "Springer has released 65 Machine Learning and Data Books for Free"
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| − | | | + | | The Elements of Statistical Learning |
| − | | Robert | + | | Trevor Hastie, Robert Tibshirani, Jerome Friedman |
| − | | | + | | http://link.springer.com/openurl?genre=book&isbn=978-0-387-84858-7 |
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Revision as of 10:03, 1 May 2020
Hundreds of books are now free to download Springer has released hundreds of free books on a wide range of topics to the general public. The list, which includes 408 books in total, covers a wide range of scientific and technological topics. In order to save you some time, I have created one list of all the books (65 in number) that are relevant to the data and Machine Learning field.
Among the books, you will find those dealing with the mathematical side of the domain (Algebra, Statistics, and more), along with more advanced books on Deep Learning and other advanced topics. You also could find some good books in various programming languages such as Python, R, and MATLAB, etc.
| Book Title | Author | Open URL |
|---|---|---|
| The Elements of Statistical Learning | Trevor Hastie, Robert Tibshirani, Jerome Friedman | http://link.springer.com/openurl?genre=book&isbn=978-0-387-84858-7 |
| row 2 cell 1 | row 2 cell 2 | row 2 cell 3 |
link to material: https://towardsdatascience.com/springer-has-released-65-machine-learning-and-data-books-for-free-961f8181f189
