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://indico.desy.de/event/33127/contributions/117087/attachments/71317/91043/user_meeting_ml_intro_jan_2022.pdf
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
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