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Module 5: Fundamental Probabilistic Algorithms

This module starts by discussing practical machine learning workflows that are deployed in production environments, which emphasizes the big picture view of machine learning. Next this module introduces two additional fundamental algorithms: naive Bayes and Gaussian Processes. These algorithms both have foundations in probability theory but operate under very different assumptions. Naive Bayes is generally used for classification tasks, while Gaussian Processes are generally used for regression tasks. This module also discusses practical issues in constructing machine learning workflows.