🗓️ Week 08 - Ensemble methods and introduction to unsupervised learning (clustering and anomaly detection)

Main theme: Unsupervised Learning

This week, we bid goodbye to the supervised learning paradigm, with the introduction of the concepts of bias/variance tradeoff and ensemble methods. And we start exploring the unsupervised learning paradigm. We will explain in which cases unsupervised learning applies, discover the notion of similarity and how it is used in two very different types of applications i.e clustering and anomaly detection.

👨‍🏫 Lecture Slides

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