This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

You will have reading, a quiz, and a Jupyter notebook lab/Peer Review to implement the PCA algorithm. This week, we are working with clustering, one of the most popular unsupervised learning methods.