1:22:22

Machine Intelligence - Lecture 5 (Computer Vision, Features, Fisher Vector, VLAD)

1:22:46

Machine Intelligence - Lecture 20 (Bayesian Learning, Bayes Theorem, Naive Bayes)

1:17:15

Ethics of Artificial Intelligence - Part 1 :: Machine Intelligence Course, Lecture 23

1:21:44

Machine Intelligence - Lecture 7 (Clustering, k-means, SOM)

1:07:15

Introduction to Machine Learning - 11 - Manifold learning and t-SNE

1:22:16

Machine Intelligence - Lecture 17 (Fuzzy Logic, Fuzzy Inference)

55:10

Visualizing Data Using t-SNE

1:11:47

Machine Intelligence - Lecture 18 (Evolutionary Algorithms)