James Worrell: Computational Learning Theory II
Lecture 2, 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 I
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Stephen H Muggleton: Inductive Logic Programming I
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Gil Strang's Final 18.06 Linear Algebra Lecture
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Varun Kanade: Statistical Learning Theory I
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Dan Roy: Bayesian Learning I
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How to Program Allen Bradley PLC Training for Beginners
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Guy Katz: Verification of Machine Learning Programs I
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We Might Be Wrong About Black Holes
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Borja Balle: Automata Learning I
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Brian Greene and Leonard Susskind: Quantum Mechanics, Black Holes and String Theory
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Richard Evans: Inductive logic programming and deep learning I
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Guy Katz: Verification of Machine Learning Programs II
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Nina Gierasimczuk: Learning and Epistemic Modal Logic I
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The AI Blueprint: How To Use AI To Make Millions, & Change Your Life w/ Alicia Lyttle 🚀
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Are We Man Enough for Clean Energy? | Lunch Money with Paul Krugman and Heather Cox Richardson
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James Worrell - Friday afternoon seminar
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Stephen H Muggleton: Inductive Logic Programming II
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Python Variables | Python Operators | Python Tutorial For Beginners | Intellipaat
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Music Theory Masterclass 1: Drilling the Basics
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