Stanford CS229: Machine Learning I Spring 2022

by Stanford Online · 19 videos

Listed in Best free machine learning courses on YouTube, ranked by total hours

Total watch time

1d 1h 43m

at speed · exactly 1 day, 1 hour, 43 minutes, 18 seconds at 1×

1d 1h 43m 18s
1.25×20h 34m 38s
1.5×17h 8m 52s
1.75×14h 41m 53s
12h 51m 39s
Average video1h 21m 14s
Longest1h 30m 43s
Shortest59m 51s
Compare Open on YouTube JSON

Plan to finish

About 26 days at an hour a day

Pick a daily pace and the days you'll watch. Ticked videos are skipped.

Days

At one hour a day, every day, this playlist takes about 26 days. Turn on JavaScript to plan around your week.

Videos (19)

1d 1h 43m in total · tick what you've watched

Tick videos you've watched — progress is saved in this browser.

Videos to
Watched
1 Stanford CS229 Machine Learning I Introduction I 2022 I Lecture 1 1:18:42 2023-08-01
2 Stanford CS229 Machine Learning I Supervised learning setup, LMS I 2022 I Lecture 2 59:56 2023-08-02
3 Stanford CS229 I Weighted Least Squares, Logistic regression, Newton's Method I 2022 I Lecture 3 1:12:59 2023-08-03
4 Stanford CS229 Machine Learning I Exponential family, Generalized Linear Models I 2022 I Lecture 4 1:17:25 2023-08-04
5 Stanford CS229 Machine Learning I Gaussian discriminant analysis, Naive Bayes I 2022 I Lecture 5 1:28:34 2023-08-05
6 Stanford CS229 Machine Learning I Naive Bayes, Laplace Smoothing I 2022 I Lecture 6 1:23:24 2023-08-06
7 Stanford CS229 Machine Learning I Kernels I 2022 I Lecture 7 1:28:24 2023-08-07
8 Stanford CS229 Machine Learning I Neural Networks 1 I 2022 I Lecture 8 1:10:16 2023-08-08
9 Stanford CS229 Machine Learning I Neural Networks 2 (backprop) I 2022 I Lecture 9 1:29:32 2023-08-09
10 Stanford CS229 Machine Learning I Bias - Variance, Regularization I 2022 I Lecture 10 1:30:23 2023-08-10
11 Stanford CS229 Machine Learning I Feature / Model selection, ML Advice I 2022 I Lecture 11 1:29:10 2023-08-11
12 Stanford CS229 I K-Means, GMM (non EM), Expectation Maximization I 2022 I Lecture 12 1:26:40 2023-08-12
13 Stanford CS229 Machine Learning I GMM (EM) I 2022 I Lecture 13 1:27:52 2023-08-13
14 Stanford CS229 Machine Learning I Factor Analysis/PCA I 2022 I Lecture 14 1:29:14 2023-08-14
15 Stanford CS229 Machine Learning I PCA/ICA I 2022 I Lecture 15 1:16:48 2023-08-15
16 Stanford CS229 Machine Learning I Self-supervised learning I 2022 I Lecture 16 1:23:03 2023-08-16
17 Stanford CS229 I Basic concepts in RL, Value iteration, Policy iteration I 2022 I Lecture 17 1:30:43 2023-08-17
18 Stanford CS229 I Societal impact of ML (Guest lecture by Prof. James Zou) I 2022 I Lecture 18 59:51 2023-08-18
19 Stanford CS229 Machine Learning I Model-based RL, Value function approximator I 2022 I Lecture 20 1:20:22 2023-08-19

Embed a badge

Show the watch time in a README or course description — it links back here and updates itself

Watch time: 1d 1h 43m · 19 videos

Markdown
[![Watch time: 1d 1h 43m · 19 videos](https://playlistduration.com/badge/playlist/PLoROMvodv4rNyWOpJg_Yh4NSqI4Z4vOYy.svg)](https://playlistduration.com/playlist/PLoROMvodv4rNyWOpJg_Yh4NSqI4Z4vOYy)
HTML
<a href="https://playlistduration.com/playlist/PLoROMvodv4rNyWOpJg_Yh4NSqI4Z4vOYy"><img src="https://playlistduration.com/badge/playlist/PLoROMvodv4rNyWOpJg_Yh4NSqI4Z4vOYy.svg" alt="Watch time: 1d 1h 43m · 19 videos" width="221" height="20"></a>

Add ?speed=1.5 to the image URL for the time at that speed, ?label=Course to change the left text, or ?style=flat-square for square corners.

Want the numbers themselves? GET https://playlistduration.com/api/v1/playlist/PLoROMvodv4rNyWOpJg_Yh4NSqI4Z4vOYy returns them as JSON — free, no key. API docs →

Data from the YouTube Data API as of 2026-09-22 (cached). Private or deleted videos are excluded from totals.