AI & Machine Learning

Deep learning, language models, reinforcement learning, statistical learning theory, representation learning, and vision.

8 courses · 98 standalone talks · 276 lectures

All AI & ML Language Models & NLP (109)Deep Learning (84)Statistical Learning & Causality (59)Algorithms & Data Structures (41)Reinforcement Learning (38)Complex Systems & Scaling (21)Neuroscience & Cognition (19)Probability & Information Theory (16)machine learning (15)Moral & Political Philosophy (14)

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Chapters · Duration

The Quantum Physicist as Causal Detective: Quantum Foundations and Causal Inference

The Quantum Physicist as Causal Detective: Quantum Foundations and Causal Inference

AI & ML·Public Colloquium · Robert Spekkens and Elie Wolfe · Perimeter Institute

Robert Spekkens and Elie Wolfe Perimeter Institute

1:04:06

What if the Brain Doesn't Create Consciousness? Irreducible Mind and Beyond Physicalism

What if the Brain Doesn't Create Consciousness? Irreducible Mind and Beyond Physicalism

Philosophy·Public Colloquium · Edward Kelly · University of Virginia

Edward Kelly University of Virginia

1:49:45

Michael Pollan: The Inner Republic

Michael Pollan: The Inner Republic

Philosophy·Public Colloquium · Michael Pollan · The John Adams Institute

Michael Pollan The John Adams Institute

1:43:49

Attention and Awareness

Attention and Awareness

9.13 · Lec 17 · Nancy Kanwisher · MIT

Nancy Kanwisher MIT

56:43

Marx's Theory of Historical Materialism (cont.)

Marx's Theory of Historical Materialism (cont.)

SOCY 151 · Lec 11 · Iván Szelényi · Yale University

Iván Szelényi Yale University

48:53

What Matters (cont.); The Nature of Death, Part I

What Matters (cont.); The Nature of Death, Part I

PHIL 176 · Lec 14 · Shelly Kagan · Yale University

Shelly Kagan Yale University

47:18

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