Playlist · Stanford Online

Stanford EE104: Introduction to Machine Learning Full Course

by Stanford Online · 19 videos

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

Total watch time

14h 3m

at 1× speed · exactly 14 hours, 2 minutes, 49 seconds at 1×

At an hour a day you'd finish in 15 days

The shape of the course

Each column is one video, to scale

1:13:40

WatchedTo watch

Compare Open on YouTube JSON

Next time, skip the copying: change youtube.com to playlistduration.com in any playlist, video or channel address and it opens here. Or see the total on YouTube itself, with our extension for Chrome, Firefox or Edge.

Your plan

Plan to finish

About 15 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 15 days. Turn on JavaScript to plan around your week.

Videos (19)

14h 3m in total · tick what you've watched

Tick videos you've watched — progress is saved in this browser. Titles open on YouTube in a new tab.

Videos to
Watched Leave out of the total
1 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 1 - course information 4:01 2021-03-17
2 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture - 2 overview 39:31 2021-03-17
3 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 3 - predictors 1:01:30 2021-03-17
4 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 4 - validation 48:26 2021-03-17
5 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 5 - features 1:13:40 2021-03-17
6 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 6 - empirical risk minimization 1:04:34 2021-03-17
7 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 7 - constant predictors 50:53 2021-03-17
8 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 8 - non quadratic losses 39:08 2021-03-17
9 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 9 - house prices example 38:39 2021-03-17
10 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 10 - non quadratic regularizers 50:12 2021-03-17
11 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 11 - neural networks 37:36 2021-03-17
12 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 12 - classifiers 55:53 2021-03-17
13 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 13 - erm for classifiers 35:21 2021-03-17
14 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 14 - Boolean classification 40:48 2021-03-17
15 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 15 - multiclass classification 33:48 2021-03-17
16 Stanford EE104: Intro to Machine Learning | 2020 | Lecture 16 - probabilistic classification 43:45 2021-03-17
17 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 17-erm for probabilistic classif. 37:00 2021-03-17
18 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 18 - unsupervised learning 43:00 2021-03-17
19 Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 19 - principal components analysis 45:04 2021-03-17
For your README

Embed a badge

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

Watch time: 14h 3m · 19 videos

Markdown
[![Watch time: 14h 3m · 19 videos](https://playlistduration.com/badge/playlist/PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK.svg)](https://playlistduration.com/playlist/PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK)
HTML
<a href="https://playlistduration.com/playlist/PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK"><img src="https://playlistduration.com/badge/playlist/PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK.svg" alt="Watch time: 14h 3m · 19 videos" width="203" 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/PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK returns them as JSON — free, no key. API docs →

Data from the YouTube Data API as of 2026-11-03 (cached). Private or deleted videos are excluded from totals.