Stanford Online — Machine Learning Specialization (Andrew Ng)
Stanford Online — Machine Learning Specialization (Andrew Ng) is a free intermediate-level course from Coursera (Stanford / DeepLearning.AI), typically completed in 60 hours (around 60 study hours).
- Price
- Free
- Duration
- 60 hours
- Level
- Intermediate
- Study hours
- 60 hours
- Provider
- Coursera (Stanford / DeepLearning.AI)
About this course
Andrew Ng's flagship Machine Learning Specialization — supervised learning, neural networks, and unsupervised/recommender systems. Free to audit; certificate optional.
What you will be able to do
- Interpret results and challenge misleading conclusions
- Clean, analyse and summarise a real dataset
- Train and evaluate models on a prepared dataset
- Analyse model errors, bias and overfitting
- Assemble portfolio evidence you can explain and defend at interview
Highlights
- Linear & logistic regression
- Neural networks with TensorFlow
- Decision trees & ensembles
- Unsupervised learning & recommenders
- Taught by Andrew Ng
Questions people ask
How much does Stanford Online — Machine Learning Specialization (Andrew Ng) cost?
Stanford Online — Machine Learning Specialization (Andrew Ng) is free. Some providers charge separately for a verified certificate.
How long does Stanford Online — Machine Learning Specialization (Andrew Ng) take?
The provider lists 60 hours. That works out at roughly 60 study hours in total.
Is Stanford Online — Machine Learning Specialization (Andrew Ng) suitable for beginners?
It is pitched at intermediate level, so some prior experience helps.
Similar AI & Machine Learning courses
- PL-7008: Create Agents in Copilot Studio — Microsoft · Free · 2–4 weeks · Beginner · 18 study hours
- AI and Machine Learning Level 5 — GATESHEAD COLLEGE · Free · 6 Weeks · Advanced
- Andrew Ng's Machine Learning Collection — Coursera · £39/mo · Self-paced · All levels · 100 study hours
- CS231n: Deep Learning for Computer Vision — Stanford University · Free · ~80 hours · Advanced · 80 study hours
- DeepLearning.AI — ChatGPT Prompt Engineering for Developers — DeepLearning.AI · Free · 1.5 hours · Beginner · 2 study hours
- Introduction to Generative AI — edX (Pragmatic AI Labs) · Free · 4 weeks · Beginner · 14 study hours
Compare all UK courses · Check whether this course closes your skills gap