Andrew Ng’s Machine Learning at Stanford University
The world's most popular machine learning course on Coursera
- Pricing
- Paid
- Platform
- Web
About Andrew Ng’s Machine Learning at Stanford University
Andrew Ng's foundational Machine Learning Specialization on Coursera covers supervised learning, unsupervised learning, and best practices for ML system design. The course uses Python and is suitable for beginners and practitioners alike. It remains one of the most-taken online courses in AI education globally.
Specifications
Everything we hold on this listing.
- Category
- Research
- Pricing
- Paid
- Platforms
- Web
- Website
- coursera.org
- Added
- Apr 23, 2026
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How Andrew Ng’s Machine Learning at Stanford University compares
The closest tools in the directory, matched on shared capability rather than category alone.
| Tool | Pricing | Open source |
|---|---|---|
| Andrew Ng’s Machine Learning at Stanford University | Paid | Not stated |
| ASReview | Paid | Yes |
| Complete JEV Application Engineering Masterclass | Paid | Not stated |
| Exam Samurai | Paid | Not stated |
| Geoffrey Hinton’s Neural Networks For Machine Learning | Paid | Not stated |
Frequently asked
What is Andrew Ng’s Machine Learning at Stanford University used for?
Andrew Ng’s Machine Learning at Stanford University is a research tool: The world's most popular machine learning course on Coursera. Related topics: education.
Is Andrew Ng’s Machine Learning at Stanford University free?
No. Andrew Ng’s Machine Learning at Stanford University is a paid product with no free plan listed, though some paid tools offer a trial. Current prices are on coursera.org.
What platforms does Andrew Ng’s Machine Learning at Stanford University run on?
Andrew Ng’s Machine Learning at Stanford University runs on Web. Whether it offers a public API isn't stated, check the vendor's docs before planning an integration.
What are the best alternatives to Andrew Ng’s Machine Learning at Stanford University?
The closest alternatives are ASReview, Complete JEV Application Engineering Masterclass, Exam Samurai, Geoffrey Hinton’s Neural Networks For Machine Learning, all research tools that overlap with Andrew Ng’s Machine Learning at Stanford University on education. See the full list at brofindai.com/alternatives/andrew-ng-s-machine-learning-at-stanford-university.
