James Worrell: Computational Learning Theory I
Lecture 1, Sunday 1 July 2018, part of the FoPSS Logic and Learning School at FLoC 2018 - see http://fopss18.mimuw.edu.pl/ and www.floc2018.org for further information.
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James Worrell: Computational Learning Theory II
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Borja Balle: Automata Learning I
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Dan Roy: Bayesian Learning I
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Algorithms and Data Structures: 12th lecture (quantum computing)
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A Brief Introduction to Theoretical Foundations of Machine Learning and Machine Teaching
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Inference, Diffusion, World Models, and More | YC Paper Club
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Gil Strang's Final 18.06 Linear Algebra Lecture
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Stephen H Muggleton: Inductive Logic Programming I
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AlphaGo - The Movie | Full award-winning documentary
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Stephen H Muggleton: Inductive Logic Programming II
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Lecture 1: Introduction to Superposition
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What is SonarQube | Introduction SonarQube | SonarQube Tutorial | SonarQube Basics | Intellipaat
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Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI | Lex Fridman Podcast #472
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Think Faster, Talk Smarter with Matt Abrahams
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Richard Evans: Inductive logic programming and deep learning I
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Machine Learning course- Shai Ben-David: Lecture 1
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Guy Katz: Verification of Machine Learning Programs I
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Free Event: Power BI Beginner to Pro 2026 Edition - Full Hands-On Tutorial
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Yann LeCun: World Models: Enabling the next AI revolution
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