DACO - Practical Lecture 1 - Introduction to Python for Scientific Computing

Where we learn the basics of how set up a Python-based system to develop Machine Learning, Computer Vision, and Image Processing projects.

DACO - Practical Lecture 2 - Bayesian Classification and Linear Regression

Where we introduce the scikit-learn library for Machine Learning. We learn about Classification with the Naive Bayes classifier, and Regression with a simple Linear Regression model.

DACO - Theoretical Lecture 6a - Linear Models

Where we introduce the one of the most simple machine learning models, and show how to obtain a numerical solution.

DACO - Theoretical Lecture 6b - Introduction to Neural Networks

Where we learn about simple neural networks, the predecessor of the nowadays almighty Deep Learning models.