Stanford
CS229 Machine Learning
The graduate machine learning theory course, taught by Andrew Ng, available in full on video. Mathematically demanding throughout.
Who it suits
The theory that most practical courses skip. Requires linear algebra and probability.
What it covers
Machine learning
What is not recorded here
No rating. Course ratings change weekly, differ between platforms for the same material, and are dominated by people who finished, which selects for those the course already suited. Level, duration and cost are stable and checkable; the line above is the judgement a rating stands in for.
Concepts this covers
Supervised LearningOverfittingUnsupervised LearningClusteringFeature EngineeringTrain/Test Split
Related courses
- Practical Deep Learning for Coders · fast.ai, ~7 weeks
- CS50's Introduction to AI with Python · Harvard, ~7 weeks
- Introduction to Machine Learning, 6.036 · MIT OpenCourseWare, one semester
- Machine Learning Crash Course · Google, ~15 hours
Common questions
Is CS229 Machine Learning free?
Yes, entirely. Provider: Stanford.
How long does CS229 Machine Learning take?
Roughly 20 lectures, at the pace the material is designed for. Anyone working full time should expect longer.
What level is CS229 Machine Learning?
Advanced. The graduate machine learning theory course, taught by Andrew Ng, available in full on video. Mathematically demanding throughout.
Who is CS229 Machine Learning for?
The theory that most practical courses skip. Requires linear algebra and probability.