Eberhard Karls University of Tübingen Courses

Statistical Machine Learning

Syllabus: Introduction - Probabilistic and Statistical Machine Learning 2020. Statistical Machine Learning Part 1 - Machine learning and inductive bias. Statistical Machine Learning Part 2 - Warmup: The kNN Classifier. Statistical Machine Learning Part…

• YouTube
• 33 hours worth of material
• Self paced
• Free Online Course

Probabilistic Machine Learning

This playlist collects the lectures on Probabilistic Machine Learning by Philipp Hennig at the University of Tübingen during the Summer Term of 2020. The lectures were recorded for online teaching during the Covid19 pandemic. They are publicly available…

• YouTube
• 40 hours worth of material
• Self paced
• Free Online Course

Mathematics for Machine Learning

Syllabus: Welcome!. (A) Linear algebra 1: Vector spaces. (A) Linear algebra 2: Basis and dimension. (A) Linear algebra 3: Direct sum. (A) Linear algebra 4: Linear maps, kernel, range. (A) Linear algebra 5: Matrices. (A) Linear algebra 6: Invertible maps…

• YouTube
• 41 hours worth of material
• Self paced
• Free Online Course

Introduction to Machine Learning

Syllabus: Introduction to Machine Learning - 01 - Baby steps towards linear regression. Introduction to Machine Learning - 02 - Multiple linear regression and SVD. Introduction to Machine Learning - 03 - Likelihood, bias, and variance. Introduction to Ma…

• YouTube
• 11 hours worth of material
• Self paced
• Free Online Course

Computer Vision

Syllabus: Computer Vision - Lecture 1.1 (Introduction: Organization). Computer Vision - Lecture 1.2 (Introduction: Introduction). Computer Vision - Lecture 1.3 (Introduction: History of Computer Vision). Computer Vision - Lecture 2.1 (Image Formation: Pr…

• YouTube
• 15 hours worth of material
• Self paced
• Free Online Course

Essential Statistics

Syllabus: 01 Introduction. 02 Basic Concepts. 03 Summary Statistics. 04 Probability and Distributions. 05 The normal distribution. 06 Statistical Inference. 07 Confidence Intervals. 08 Two sample t test. 09 Wilcoxon. 10 Tests for paired samples. 12 ANOVA…

• YouTube
• 7 hours worth of material
• Self paced
• Free Online Course