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Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

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This repo records my answers to all questions from the excercises of CS229 (Autumn 2017). http://cs229.stanford.edu/syllabus.html

I tried to record all details in Jupyter notebooks. If you see mistakes, please let me know.

As for reinforcement learning, I've also implemented value iteration, policy iteration, SARSA, and Q-learning before in javascript for the gridworld at https://github.com/zyxue/rljs with a web demo at https://rljs.herokuapp.com/.

You might also be interested in an earlier version of cs229, https://see.stanford.edu/Course/CS229.

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Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

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