Eberhard Karls University of Tübingen Courses

Statistical Machine Learning

2 reviews

Comprehensive exploration of machine learning concepts, from basic algorithms to advanced topics like kernels, dimensionality reduction, and clustering, with insights on societal impact and practical applications.

• YouTube
• 1 day 9 hours
• On-Demand
• Free Online Course

Probabilistic Machine Learning

Comprehensive lecture series on probabilistic machine learning, covering Bayesian paradigms, statistical concepts, and deep learning connections for master's-level computer science students.

• YouTube
• 1 day 16 hours
• On-Demand
• Free Online Course

Mathematics for Machine Learning

Comprehensive exploration of linear algebra, calculus, probability theory, and statistics essential for machine learning, covering fundamental concepts to advanced applications.

• YouTube
• 1 day 17 hours
• On-Demand
• Free Online Course

Introduction to Machine Learning

Explore key machine learning concepts and techniques, from linear regression to deep learning, clustering, and dimensionality reduction, with hands-on applications.

• YouTube
• 11 hours
• On-Demand
• Free Online Course

Computer Vision

Explore image formation, structure-from-motion, stereo reconstruction, graphical models, and shape-from-X techniques in this comprehensive introduction to computer vision fundamentals.

• YouTube
• 15 hours
• On-Demand
• Free Online Course

Essential Statistics

Learn fundamental statistical concepts and techniques, from basic probability to regression analysis, enhancing your data interpretation and research skills.

• YouTube
• 7 hours
• On-Demand
• Free Online Course