Introduction to Machine Learning — Dmitry Kobak, 2020/21
11 videos • 102,781 views • by Tübingen Machine Learning Lectures for the course "Introduction to Machine Learning" (Machine Learning I) by Dmitry Kobak, University of Tübingen, Winter Term 2020/21. The lectures were recorded for online teaching during the Covid19 pandemic. They are publicly available under the Creative Commons license. Slides can be found at https://dkobak.github.io. The course serves as a basic introduction to machine learning and covers key concepts in regression, classification, optimization, regularization, clustering, and dimensionality reduction. The course is aimed at master students in neuroscience and other sciences. The course assumes basic familiarity with calculus, probability theory, and linear algebra (matrices). www.eye-tuebingen.de/berenslab