A deep dive into the mathematics of Machine Learning

Presentation slides of of a tutorial talk held at the data analysis satellite workshop of the 2022 European XFEL users' meeting. This tutorial explains ideas and concepts behind the methods of Supervised Learning, Representation Leaning, Mixture Models and Reinforcement Learning. The tutorial offered also Jupyter notebooks as supplementary material for hands-on training, which are published as separate material resource in this pan-training catalogue.

Keywords: machine learning

Resource type: slides

Target audience: research data scientist, masters students, PhD students

Difficulty level: Knowledge-dependent

Language: English

Authors: Danilo Enoque Ferreira de Lima
A deep dive into the mathematics of Machine Learning https://pan-training.eu/materials/a-deep-dive-into-the-mathematics-of-machine-learning Crash course on Machine Learning machine learning research data scientist masters students PhD students