Stanford University · Course
Machine Learning Specialization (SOE-YMLS)
The Machine Learning Specialization is a beginner-friendly, three-course programme from Stanford Online and DeepLearning.AI, taught on Coursera, and an updated, expanded version of Andrew Ng’s pioneering Machine Learning course.
Who it suits
- Beginners who want the fundamentals of machine learning and how to build real-world AI applications.
- Learners who want a broad introduction before more specialised courses.
What it covers
- Supervised learning, including multiple linear regression, logistic regression and neural networks.
- A broad introduction to modern machine learning.
- How to use these techniques to build real-world AI applications.
Common questions about Machine Learning Specialization (SOE-YMLS)
- Where is it taught?
- On Coursera, with DeepLearning.AI. Stanford says course materials can be viewed free of charge, with an option to obtain a certificate.
- How many courses?
- Three.
- Who made it?
- Stanford Online and DeepLearning.AI, as an updated version of Andrew Ng’s Machine Learning course.
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Where this comes from
Written from Stanford University’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with Stanford University and this is not an endorsement.