AI & Machine Learning

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

8 courses · 111 standalone talks · 283 lectures

All AI & ML Language Models & NLP (114)Deep Learning (87)Statistical Learning & Causality (60)Algorithms & Data Structures (43)Reinforcement Learning (38)Complex Systems & Scaling (21)Neuroscience & Cognition (19)Probability & Information Theory (17)machine learning (15)Moral & Political Philosophy (14)

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Chapters · Duration

Lecture 18: Epilogue (CS 156)

Lecture 18: Epilogue (CS 156)

CS 156 · Lec 18 · Yaser Abu-Mostafa · Caltech

Yaser Abu-Mostafa Caltech

1:09:28

Speculations on Test-Time Scaling for Large Language Models (o1)

Speculations on Test-Time Scaling for Large Language Models (o1)

AI & ML·Research Seminar · Sasha Rush · Cornell University

Sasha Rush Cornell University

47:55

Intersecting Set Systems and Hamiltonicity

Intersecting Set Systems and Hamiltonicity

AI & ML·Research Seminar · Namrata · London Mathematical Society

Namrata London Mathematical Society

40:29

3. Ways In and Out of the Hermeneutic Circle

3. Ways In and Out of the Hermeneutic Circle

ENGL 300 · Lec 3 · Paul H. Fry · Yale University

Paul H. Fry Yale University

46:44

Lecture 9: Linguistics and Literature (ENGL 300)

Lecture 9: Linguistics and Literature (ENGL 300)

ENGL 300 · Lec 9 · Paul H. Fry · Yale University

Paul H. Fry Yale University

49:54

Lecture 21: African-American Criticism (ENGL 300)

Lecture 21: African-American Criticism (ENGL 300)

ENGL 300 · Lec 21 · Paul H. Fry · Yale University

Paul H. Fry Yale University

53:58

Lecture 12: Freud and Fiction (ENGL 300)

Lecture 12: Freud and Fiction (ENGL 300)

ENGL 300 · Lec 12 · Paul H. Fry · Yale University

Paul H. Fry Yale University

50:40

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