Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

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 ...

Clustering algorithms, a fundamental subset of unsupervised learning techniques, strive to partition complex datasets into groups of similar elements without prior labels. These methods are pivotal in ...