DeepLearning.AI and Stanford
Machine Learning Specialization
Three courses covering supervised learning, advanced algorithms and unsupervised methods. Taught by Andrew Ng.
Who it suits
The canonical starting point, and the one most people mean by an AI course.
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
- CS229 Machine Learning · Stanford, 20 lectures
- Introduction to Machine Learning, 6.036 · MIT OpenCourseWare, one semester
Common questions
Is Machine Learning Specialization free?
It runs on a subscription rather than a one-off fee. Provider: DeepLearning.AI and Stanford.
How long does Machine Learning Specialization take?
Roughly ~2 months, at the pace the material is designed for. Anyone working full time should expect longer.
What level is Machine Learning Specialization?
Beginner. Three courses covering supervised learning, advanced algorithms and unsupervised methods. Taught by Andrew Ng.
Who is Machine Learning Specialization for?
The canonical starting point, and the one most people mean by an AI course.