This module builds on the earlier module 'Machine Learning with Python', covering a number of advanced techniques in machine learning, such as different methods for clustering, dimensionality reduction, matrix completion, and autoencoders. Although the underlying theoretical ideas are clearly explained, this module is very hands-on, and you will implement various applications using Python in the weekly coursework assignments.

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