Lecture 1 | Machine Learning (Stanford)
What it is
The first lecture of Andrew Ng's Stanford CS229 Machine Learning course, giving an overview of the course. It introduces supervised and unsupervised learning, learning theory and reinforcement learning.
Why Hacker News recommends it
Recommended as the rigorous, math-heavy original course, deeper than the Coursera version, for learning machine learning.
- 11 people recommended it
- 11 different months
- 1 strong recommendations
- first 2008, last 2020
What HN commenters said
“I'd suggest going back to the original youtube[1] and course materials[2].”
Original Stanford class preferred over watered-down Coursera version
11001, 2014-01 · Strong recommendation · in “Free eBooks On Machine Learning”
“Stanford class on machine learning by Andrew Ng, 20 lectures.”
Andrew Ng's 20-lecture Stanford machine learning class
schtog, 2008-08 · Recommendation · in “Stanford's "autonomous" helicopters teach themselves to fly”
“You can also look at Andrew Ng's video lectures”
Video lectures by a well-respected ML researcher as alternative to books
bravura, 2009-02 · Recommendation · in “Ask HN: Good books on machine learning?”
“which you can learn using the Andrew Ng's Stanford lectures”
Learn ML techniques from Andrew Ng's Stanford lectures
datageek, 2010-09 · Recommendation · in “Ask HN: Ideas for weekend projects?”
“presenting the mathematics behind some of the more popular algorithms”
Math-focused CS229 covering clustering, classification, regression
law, 2011-07 · Recommendation · in “Free online version of Stanford's Fall 2011 Intro to AI course”
“The Machine Learning course has a great a playlist on youtube as well.”
Full ML course playlist available on YouTube
chedigitz, 2011-08 · Recommendation · in “Stanford Fall 2011 - Introduction to Databases”
“lectures are on YouTube [1], and go much more in depth.”
The real CS229 goes deeper into math than Coursera version
dvdhsu, 2013-03 · Recommendation · in “Introduction to Machine Learning”
“it's still around on youtube and on the Stanford Engineering Everywhere site”
Full Stanford version is more thorough than Coursera
bglazer, 2013-11 · Recommendation · in “CMU's Introduction to Machine Learning Course”
Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.
Topics: andrew ng, cs229, supervised learning, stanford, machine learning course
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