Stanford Machine Learning
Self-paced
Linear algebra + calculus
Andrew Ng’s original 2011 ML course — predecessor to the modern Machine Learning Specialization. Octave-based, more mathematical.
What you will learn:
- Linear regression and classification
- Neural networks (basic)
- Support vector machines
- Clustering and dimensionality reduction
Who it is for: Anyone wanting historical context, learners who prefer Octave/Matlab.
Honest take: Mostly superseded by the modern Machine Learning Specialization. Take the new one instead unless you have a specific reason.