AI & Machine Learning

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

8 courses · 111 standalone talks · 283 total 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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Machine Learning (CS 229): Lecture 1 - Course Introduction

Machine Learning (CS 229): Lecture 1 - Course Introduction

AI & ML·Standalone Lecture · Andrew Ng · Stanford University

Andrew Ng Stanford University

1:08:40

Lecture 18: Frontiers (CS224R)

Lecture 18: Frontiers (CS224R)

AI & ML·Standalone Lecture · Chelsea Finn · Stanford University

Chelsea Finn Stanford University

1:10:49

The Alberta Plan for AI Research: Continual Reinforcement Learning

The Alberta Plan for AI Research: Continual Reinforcement Learning

AI & ML·Research Seminar · Richard S. Sutton · University of Alberta

Richard S. Sutton University of Alberta

58:57

Deep Dive into Large Language Models: Pretraining to RLHF

Deep Dive into Large Language Models: Pretraining to RLHF

AI & ML·Standalone Lecture · Andrej Karpathy · Eureka Labs

Andrej Karpathy Eureka Labs

3:31:23

Lecture 01 - The Learning Problem

Lecture 01 - The Learning Problem

CS 156 · Lec 1 · Yaser Abu-Mostafa · Caltech

Yaser Abu-Mostafa Caltech

1:21:27

UCL / DeepMind RL Lecture 1: Introduction to Reinforcement Learning

UCL / DeepMind RL Lecture 1: Introduction to Reinforcement Learning

COMP0089 · Lec 1 · David Silver · UCL / Google DeepMind

David Silver UCL / Google DeepMind

1:28:12

Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning

Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning

Theory & Algos·Research Seminar · Parham Panahi · Alberta Machine Intelligence Institute

Parham Panahi Alberta Machine Intelligence Institute

56:25

AI Seminar: Actionable Interpretability for Language Model Reasoning

AI Seminar: Actionable Interpretability for Language Model Reasoning

AI & ML·Research Seminar · Xi Ye · Amii (University of Alberta)

Xi Ye Amii (University of Alberta)

57:31

HydroGym: A Reinforcement Learning Platform for Fluid Dynamics

HydroGym: A Reinforcement Learning Platform for Fluid Dynamics

AI & ML·Research Seminar · Steven L. Brunton · University of Washington

Steven L. Brunton University of Washington

21:30

POPRi: Private Federated Learning using Preference-Optimized Synthetic Data

POPRi: Private Federated Learning using Preference-Optimized Synthetic Data

Theory & Algos·Conference Talk · Charlie Hou · Google

Charlie Hou Google

33:40

Sequential Optimization of Dynamically Augmented Conditional Value-at-Risk

Sequential Optimization of Dynamically Augmented Conditional Value-at-Risk

AI & ML·Research Seminar · Alberta Machine Intelligence Institute

Alberta Machine Intelligence Institute

55:29

AI for Materials on Demand: Accelerating Discovery

AI for Materials on Demand: Accelerating Discovery

AI & ML·Research Seminar · Aron Walsh · Imperial College London / CUSP ai

Aron Walsh Imperial College London / CUSP ai

35:46

Online Hyperparameter Tuning as an Empirical Approach for Reinforcement Learning

Online Hyperparameter Tuning as an Empirical Approach for Reinforcement Learning

AI & ML·Research Seminar · Matthew Vandergrift · University of Alberta

Matthew Vandergrift University of Alberta

57:03

The Future of Creativity in the Age of AI

The Future of Creativity in the Age of AI

AI & ML·Public Colloquium · Daniel Susskind · Gresham College

Daniel Susskind Gresham College

45:57

AI for Fusion Energy: Accelerating STEP Tokamak Development

AI for Fusion Energy: Accelerating STEP Tokamak Development

AI & ML·Research Seminar · Lorenzo Zani · UK Atomic Energy Authority

Lorenzo Zani UK Atomic Energy Authority

43:26

Stanford CS25: V1 I Transformers United: DL Models that have revolutionized NLP, CV, RL

Stanford CS25: V1 I Transformers United: DL Models that have revolutionized NLP, CV, RL

CS25 · Lec 1 · Stanford Guest Researchers · Stanford University

Stanford Guest Researchers Stanford University

22:43

UCL / DeepMind RL Lecture 6: Value Function Approximation & Deep Q-Networks (DQN)

UCL / DeepMind RL Lecture 6: Value Function Approximation & Deep Q-Networks (DQN)

COMP0089 · Lec 6 · David Silver · UCL / Google DeepMind

David Silver UCL / Google DeepMind

1:36:45

UCL / DeepMind RL Lecture 2: Markov Processes, Reward Processes & Bellman Equations

UCL / DeepMind RL Lecture 2: Markov Processes, Reward Processes & Bellman Equations

COMP0089 · Lec 2 · David Silver · UCL / Google DeepMind

David Silver UCL / Google DeepMind

1:42:04

UCL / DeepMind RL Lecture 5: Model-Free Control — ε-Greedy SARSA & Off-Policy Q-Learning

UCL / DeepMind RL Lecture 5: Model-Free Control — ε-Greedy SARSA & Off-Policy Q-Learning

COMP0089 · Lec 5 · David Silver · UCL / Google DeepMind

David Silver UCL / Google DeepMind

1:36:30

UCL / DeepMind RL Lecture 4: Model-Free Prediction — Monte Carlo, TD(0) & TD(λ)

UCL / DeepMind RL Lecture 4: Model-Free Prediction — Monte Carlo, TD(0) & TD(λ)

COMP0089 · Lec 4 · David Silver · UCL / Google DeepMind

David Silver UCL / Google DeepMind

1:37:01

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