Introduction to the Course

This is the first lecture of the course and we are going to explore a couple of definitions. In particular we will become familiar with the concepts of data ETL, Machine Learning model, supervised and unsupervised learning.

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Machine Learning algorithm

Statistics review

We are going to recall briefly the basic concepts of Statistics.

K-Nearest neighbours

A discussion on how to build the simplest machine learning algorithm.

Linear regression

A first example of hypothesis-based machine learning algorithm.