Foundations of Machine Learning

This workshop is about how, conceptually, machine learning is used to extract information from data. We will discuss Supervised Learning, which is concerned with learning to predict an output given inputs; Unsupervised Learning, which is about the discovery of a structure in a set of patterns; and Reinforcement Learning, which is about relating some situation to actions with the goal of maximizing "reinforcing" rewards.

To understand these different techniques of Machine Learning, we will also talk about some fundamental concepts in all of Machine Learning.

1. Fundamental Concepts
2. Classification and Regression
3. Supervised Learning
4. Unsupervised Learning
5. Reinforcement Learning

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