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The No-Free Lunch Theorem | Lê Nguyên Hoang
The Fundamental Theorem of Statistical Learning | Lê Nguyên Hoang
Proof Sketch of the Fundamental Theorem of Statistical Learning | Lê Nguyên Hoang
Lê Nguyên Hoang on Recommandation Algorithms as a Fantastic Opportunity for good
VC Dimension of Linear Classifiers | Lê Nguyên Hoang
VC Dimension | Lê Nguyên Hoang
Unlocking Machine Learning: Computational Learning Theory & PAC Learning Explained
Lê Nguyên Hoang - Tournesol's new algorithm
Geometry of Singular Value Decomposition (SVD) | Lê Nguyên Hoang
Ali Ghodsi, Lec 19: PAC Learning
Logistic Regression | Lê Nguyên Hoang
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Last Updated: October 14, 2026
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Summary
This video introduces the concept of This video proves that finite hypothesis classes are This video gives an example of a non- This video proves two basic versions of the infamous no-free lunch theorems. Speaker and editor: Facebook and Twitter newsfeeds, 70% of views on YouTube result from algorithmic recommendations. On social medias ... Part of my teachings at Department of Mathematics, Hong Kong Baptist University. This video presents a statement of the fundamental theorem of statistical This video computes the VC dimension of linear classifiers of R^d. Speaker and editor: Turn your videos into live streams with Restream restre.am/ANIm Last summer, Tournesol deployed new algorithms, which ... This video gives a geometrical interpretation of multidimensional linear regression in terms of orthogonal projection. Speaker and ...