Course in Machine Learning (Classical and Quantum)

This class will be dedicated to introduce basic notions of machine learning. In this chapter we will discuss the purpose
of the algorithms, and some of the basic concepts and language needed for that, such as data, models, training, overfitting,
etc.

Contents of first class:

1.1 What is machine learning
1.2 Types of machine learning
  1.2.1 Regression
  1.2.2 Supervised classification
  1.2.3 Unsupervised classification
  1.2.4 Generative modelling
  1.2.5 Reinforcement learning

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