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Eberhard Karls University of Tübingen is one of the oldest and most renowned universities in Germany. It is well known for its excellent research, teaching, and interdisciplinary approach to education.
Statistical Machine Learning 2020. Part 1: Machine learning and inductive bias. Part 2: Warmup: The kNN Classifier. Part 3: Formal setup, risk, consistency. Part 4: Bayesian decision theory. Part 5: The Bayes classifier.
Learn the basics of probabilistic & statistical ML, ranging from introductory topics like reason and uncertainty to detailed topics such as Gaussian processes and tuning inference algorithms.
Dive into the world of machine learning with Eberhard Karls University of Tübingen's comprehensive 41-hour program, covering linear algebra, calculus, probability theory, statistics, and high-dimensional spaces.
Learn the basics of machine learning, including linear regression, neural networks, and deep learning, in an 11-hour program from Eberhard Karls University of Tübingen.
Explore computer vision with Eberhard Karls University of Tübingen. Learn image formation, structure-from-motion, stereo reconstruction, and more in a 15-hour program.
Learn essential statistics in a 7-hour program from Eberhard Karls University of Tübingen, covering topics from basic concepts to linear regression and data analysis.
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