دانشگاه برکلی فوق لیسانس علم داده به صورت کاملا انلاین ارایه می دهد.
https://datascience.berkeley.edu

#berkeley #datascience
Thanks to: @SMAC_MGMT

منابع مفید برای شروع #یادگیری_تقویتی
#مسیر_یادگیری، #منابع، #کورس

⭕️Resources for #Reinforcement_Learning:

Wikipedia Article for General Info on Reinforcement Learning

https://stackoverflow.com/questions/43288550/iopub-data-rate-exceeded-when-viewing-image-in-jupyter-notebook

Simpler Reinforcement Learning API with #Keras. It's a lot easier to play with this than manually implement techniques in #TensorFlow.

https://github.com/matthiasplappert/keras-rl

Huge Repo of Implemented RL Algos:

https://github.com/dennybritz/reinforcement-learning

#Berkeley #Course on RL and DL:

http://rll.berkeley.edu/deeprlcourse/

Nice Series of Articles on RL:

https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0

Some great books on RL:

* Richard S. Sutton and Andrew G. Barto. Reinforcement Learning.
* Stuart J. Russell and Peter Norvig. Artificial Intelligence. A Modern Approach.
* Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep Learning.