Lesson type
Difficulty level
Introduction of the Foundations of Machine Learning in Python course - Day 01.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Beginner
Duration: 35:24
Speaker: : Elena Trunz
Optimization for machine learning - Day 02 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 34:52
Speaker: : Moritz Wolter
Linear Algebra for Machine Learning - Day 03 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 57.45
Speaker: : Moritz Wolter
Support Vector Machines - Day 06 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 53.39
Speaker: : Elena Trunz
Decision Trees and Random Forests - Day 07 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 1:15:39
Speaker: : Elena Trunz
Clustering and Density Estimation - Day 08 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 59:35
Speaker: : Elena Trunz
Dimensionality Reduction - Day 09 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 51:02
Speaker: : Elena Trunz
Introduction to Neural Networks - Day 10 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 54:12
Speaker: : Moritz Wolter
Introduction to Convolutional Neural Networks - Day 11 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 42:07
Speaker: : Moritz Wolter
Initialization, Optimization, and Regularization - Day 12 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 42:07
Speaker: : Moritz Wolter
U-Nets for medical Image-Segmentation - Day 13 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 16:45
Speaker: : Moritz Wolter
Sequence Processing - Day 15 lecture of the Foundations of Machine Learning in Python course.
High-Performance Computing and Analytics Lab, University of Bonn
Difficulty level: Advanced
Duration: 47:45
Speaker: : Moritz Wolter
This lecture covers the emergence of cognitive science after the Second World War as an interdisciplinary field for studying the mind, with influences from anthropology, cybernetics, and artificial intelligence.
Difficulty level: Beginner
Duration: 51:07
Speaker: : Paul F.M.J. Verschure
This lecture provides an introduction to Plato’s concept of rationality and Aristotle’s concept of empiricism, and the enduring discussion between rationalism and empiricism to this day.
Difficulty level: Beginner
Duration: 1:13:45
Speaker: : Paul F.M.J. Verschure
This lecture covers different perspectives on the study of the mental, focusing on the difference between Mind and Brain.
Difficulty level: Beginner
Duration: 1:16:30
Speaker: : Paul F.M.J. Verschure
This lecture covers the three big questions: What is the universe?, what is life?, and what is consciousness?
Difficulty level: Beginner
Duration: 1:07:52
Speaker: : Paul F.M.J. Verschure