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Machine learning & maths · English

How long is Stanford CS229 Machine Learning with Andrew Ng (Autumn 2018)?

Stanford CS229 Machine Learning with Andrew Ng (Autumn 2018) by Stanford Online is 27h 51m long across 21 videos. Checked against YouTube on November 3, 2026.

Total length
27h 51m
At 1.5x
18h 34m
At 2x
13h 55m
Videos
21

Track your progress through this course

Enter the video you're on to see what's left at your speed. It remembers your place next time.

About this course

Andrew Ng’s Autumn 2018 CS229 lectures: linear and logistic regression, generalized linear models, GDA and Naive Bayes, SVMs and kernels, decision trees, neural networks, EM, PCA and ICA, and reinforcement learning with MDPs, plus a learning-theory discussion section. Every video is a full university lecture of over an hour.

Stanford CS229 Machine Learning with Andrew Ng (Autumn 2018) at faster speeds

SpeedWatch timeTime saved
1x27h 51m—
1.25x22h 17m5h 34m
1.5x18h 34m9h 17m
1.75x15h 55m11h 56m
2x13h 55m13h 55m

How many days to finish it

Days needed at a fixed daily budget, never splitting a video across two days.

Daily timeAt 1xAt 1.5xAt 2x
30 min a day21 days21 days21 days
1 hour a day21 days21 days21 days
2 hours a day21 days11 days8 days

Questions

How long is Stanford CS229 Machine Learning with Andrew Ng (Autumn 2018)?
Stanford CS229 Machine Learning with Andrew Ng (Autumn 2018) is 27h 51m long across 21 videos (checked November 3, 2026). That is 18h 34m at 1.5x speed or 13h 55m at 2x.
How many days does it take to finish Stanford CS229 Machine Learning with Andrew Ng (Autumn 2018)?
At 1 hour a day at normal speed it takes about 21 days, or 21 days at 1.5x. At 2 hours a day at 1.5x it takes about 11 days. Days are counted without splitting any video across two days.
Can I keep track of how much of Stanford CS229 Machine Learning with Andrew Ng (Autumn 2018) I have left?
Yes. Open the playlist in the calculator, choose “What’s left” and enter the video you are on. It shows the time remaining at your speed and remembers your place in this browser, so you can pick up where you left off next time.