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Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2021

by Stanford Online · 60 videos

Total watch time

1d 7h 10m

at 1× speed · exactly 1 day, 7 hours, 9 minutes, 38 seconds at 1×

1×1d 7h 9m 38s
1.25×1d 55m 42s
1.5×20h 46m 25s
1.75×17h 48m 22s
2×15h 34m 49s
Average video31m 10s
Longest1h 27m 6s
Shortest5m 42s
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Videos (60)

1d 7h 10m in total · tick what you've watched

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1 General Intro | Stanford CS221: Artificial Intelligence: Principles and Techniques (Autumn 2021) 1:08:12 2022-05-31
2 AI History | Stanford CS221: AI (Autumn 2021) 18:08 2022-05-31
3 Artificial Intelligence Today | Stanford CS221: AI (Autumn 2021) 13:46 2022-05-31
4 Artificial Intelligence and Machine Learning 1 - Overview | Stanford CS221: AI (Autumn 2021) 6:50 2022-05-31
5 Artificial Intelligence & Machine Learning 2 - Linear Regression | Stanford CS221: AI (Autumn 2021) 22:44 2022-05-31
6 Artificial Intelligence & Machine learning 3 - Linear Classification | Stanford CS221 (Autumn 2021) 28:02 2022-05-31
7 Artificial Intelligence & Machine Learning 4 - Stochastic Gradient Descent | Stanford CS221 (2021) 15:05 2022-05-31
8 Artificial Intelligence and Machine Learning 5 - Group DRO | Stanford CS221: AI (Autumn 2021) 17:40 2022-05-31
9 Artificial Intelligence & Machine Learning 6 - Non Linear Features | Stanford CS221: AI(Autumn 2021) 14:05 2022-05-31
10 Artificial Intelligence & Machine Learning 7 - Feature Templates | Stanford CS221: AI (Autumn 2021) 11:52 2022-05-31
11 Artificial Intelligence & Machine Learning 8 - Neural Networks | Stanford CS221: AI (Autumn 2021) 18:35 2022-05-31
12 Machine Learning 9 - Backpropagation | Stanford CS221: AI (Autumn 2021) 30:47 2022-05-31
13 Machine Learning 10 - Differentiable Programming | Stanford CS221: AI (Autumn 2021) 37:42 2022-05-31
14 Artificial Intelligence & Machine Learning 11 - Generalization | Stanford CS221: AI (Autumn 2021) 14:54 2022-05-31
15 Artificial Intelligence & Machine Learning 12 - Best Practices | Stanford CS221: AI (Autumn 2021) 23:50 2022-05-31
16 Machine Learning 13 - K-means | Stanford CS221: AI (Autumn 2021) 19:24 2022-05-31
17 Search 1 - Dynamic Programming, Uniform Cost Search | Stanford CS221: AI (Autumn 2019) 1:20:25 2020-01-08
18 Search 2 - A* | Stanford CS221: Artificial Intelligence (Autumn 2019) 1:21:54 2020-01-08
19 Markov Decision Processes 1 - Value Iteration | Stanford CS221: AI (Autumn 2019) 1:23:07 2020-01-08
20 Markov Decision Processes 2 - Reinforcement Learning | Stanford CS221: AI (Autumn 2019) 1:14:38 2020-04-28
21 Game Playing 1 - Minimax, Alpha-beta Pruning | Stanford CS221: AI (Autumn 2019) 1:21:33 2020-01-08
22 Game Playing 2 - TD Learning, Game Theory | Stanford CS221: Artificial Intelligence (Autumn 2019) 1:19:26 2020-01-08
23 Constraint Satisfaction Problems (CSPs) 1 - Overview | Stanford CS221: AI (Autumn 2021) 13:50 2022-05-31
24 Constraint Satisfaction Problems (CSPs) 2 - Definitions | Stanford CS221: AI (Autumn 2021) 19:12 2022-05-31
25 Constraint Satisfaction Problems (CSPs) 3 - Examples | Stanford CS221: AI (Autumn 2021) 24:55 2022-05-31
26 Constraint Satisfaction Problems (CSPs) 4 - Dynamic Ordering | Stanford CS221: AI (Autumn 2021) 19:17 2022-05-31
27 Constraint Satisfaction Problems (CSPs) 5 - Arc Consistency | Stanford CS221: AI (Autumn 2021) 14:10 2022-05-31
28 Constraint Satisfaction Problems (CSPs) 6 - Beam Search | Stanford CS221: AI (Autumn 2021) 14:30 2022-05-31
29 Constraint Satisfaction Problems (CSPs) 7 - Local Search | Stanford CS221: AI (Autumn 2021) 12:43 2022-05-31
30 Markov Networks 1 - Overview | Stanford CS221: Artificial Intelligence (Autumn 2021) 14:12 2022-05-31
31 Markov Networks 2 - Gibbs Sampling | Stanford CS221: AI (Autumn 2021) 17:55 2022-05-31
32 Bayesian Networks 1 - Overview | Stanford CS221: AI (Autumn 2021) 10:43 2022-05-31
33 Bayesian Networks 2 - Definition | Stanford CS221: AI (Autumn 2021) 28:40 2022-05-31
34 Bayesian Networks 3 - Probabilistic Programming | Stanford CS221: AI (Autumn 2021) 15:33 2022-05-31
35 Bayesian Networks 4 - Probabilistic Inference | Stanford CS221: AI (Autumn 2021) 15:16 2022-05-31
36 Bayesian Networks 5 - Forward-backward Algorithm | Stanford CS221: AI (Autumn 2021) 16:33 2022-05-31
37 Bayesian Networks 6 - Particle Filtering | Stanford CS221: AI (Autumn 2021) 24:02 2022-05-31
38 Bayesian Networks 7 - Supervised Learning | Stanford CS221: AI (Autumn 2021) 31:44 2022-05-31
39 Bayesian Networks 8 - Smoothing | Stanford CS221: AI (Autumn 2021) 7:02 2022-05-31
40 Bayesian Networks 9 - EM Algorithm | Stanford CS221: AI (Autumn 2021) 37:29 2022-05-31
41 Logic 1 - Overview: Logic Based Models | Stanford CS221: AI (Autumn 2021) 22:14 2022-05-31
42 Logic 2 - Propositional Logic Syntax | Stanford CS221: AI (Autumn 2021) 5:42 2022-05-31
43 Logic 3 - Propositional Logic Semantics | Stanford CS221: AI (Autumn 2021) 38:34 2022-05-31
44 Logic 4 - Inference Rules | Stanford CS221: AI (Autumn 2021) 24:20 2022-05-31
45 Logic 5 - Propositional Modus Ponens | Stanford CS221: AI (Autumn 2021) 8:07 2022-05-31
46 Logic 6 - Propositional Resolutions | Stanford CS221: AI (Autumn 2021) 19:32 2022-05-31
47 Logic 7 - First Order Logic | Stanford CS221: AI (Autumn 2021) 26:10 2022-05-31
48 Logic 8 - First Order Modus Ponens | Stanford CS221: Artificial Intelligence (Autumn 2021) 16:08 2022-05-31
49 Logic 9 - First Order Resolution | Stanford CS221: AI (Autumn 2021) 10:53 2022-05-31
50 Logic 10 - Recap | Stanford CS221: Artificial Intelligence (Autumn 2021) 11:46 2022-05-31
51 AI and Law I Mariano-Florentino Cuéllar, President of the Carnegie Endowment for International Peace 1:15:26 2022-05-31
52 Stanford Fireside Talks: Robustness in Machine Learning I Robust Machine Learning 1:11:04 2022-05-31
53 Fireside Talks: State of Robotics I Automation and Robotics Engineering Lectures - Stanford 1:25:05 2022-05-31
54 Stanford Talk: Inequality in Healthcare, AI & Data Science to Reduce Inequality - Improve Healthcare 1:13:20 2022-05-31
55 Fireside Talks: Artificial Intelligence (AI) and Language 1:27:06 2022-05-31
56 General Conclusion | Stanford CS221: AI (Autumn 2021) 1:11:44 2022-05-31
57 Stanford CS221 I Externalities and Dual-Use Technologies I 2023 8:26 2024-03-12
58 Stanford CS221 I The AI Alignment Problem: Reward Hacking & Negative Side Effects I 2023 11:34 2024-03-12
59 Stanford CS221 I Encoding Human Values I 2023 14:36 2024-03-12
60 Stanford CS221 I Algorithms and Distribution I 2023 7:26 2024-03-12

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