mirror of
https://github.com/josephmisiti/awesome-machine-learning.git
synced 2024-11-13 11:24:23 -05:00
Replace Oct 2017 draft w/ Nov 2017 draft of RL
I replaced the indelible link for "Reinforcement Learning: An Introduction" (June 2017 draft) with an indelible link for the most recent (Nov 2017) draft. Hats off to r/machinelearning for the news! :)
This commit is contained in:
parent
65a8516d53
commit
055dacbdf8
1 changed files with 1 additions and 1 deletions
2
books.md
2
books.md
|
@ -11,7 +11,7 @@ The following is a list of free, open source books on machine learning, statisti
|
|||
* [Information Theory, Inference, and Learning Algorithms](http://www.inference.phy.cam.ac.uk/mackay/itila/book.html)
|
||||
* [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/chapters/)
|
||||
* [Data Intensive Text Processing w/ MapReduce](http://lintool.github.io/MapReduceAlgorithms/)
|
||||
* [Reinforcement Learning: - An Introduction](http://incompleteideas.net/sutton/book/the-book-2nd.html) ([Permalink to June 2017 Draft](https://perma.cc/6ZMM-YM47))
|
||||
* [Reinforcement Learning: - An Introduction](http://incompleteideas.net/sutton/book/the-book-2nd.html) ([Permalink to Nov 2017 Draft](https://perma.cc/83ER-64M3))
|
||||
* [Mining Massive Datasets](http://infolab.stanford.edu/~ullman/mmds/book.pdf)
|
||||
* [A First Encounter with Machine Learning](https://www.ics.uci.edu/~welling/teaching/273ASpring10/IntroMLBook.pdf)
|
||||
* [Pattern Recognition and Machine Learning](http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf)
|
||||
|
|
Loading…
Reference in a new issue