Prof. Balaraman Ravindran's NPTEL machine learning course from IIT Madras.
Machine Learning Crash Course
Google's updated ML crash course: regression to neural nets, embeddings, LLMs and fairness.
Taught byGoogleAbout this course
Google's refreshed crash course with videos, interactive visualizations and exercises. Modules cover linear and logistic regression, classification, working with data, generalization, neural networks, embeddings, an intro to large language models, production ML, AutoML and fairness.
Best for: Developers who want a fast, practical grounding in ML.
What you will be able to do
- Explain and build regression and classification models
- Prepare numerical and categorical data
- Understand neural networks and embeddings
- Recognize fairness and production concerns
Syllabus and your progress
Tick modules off as you finish them on Google.
0 of 4 modules done
Plan your pace
At 4 hours a week you would finish in about 4 weeks, using the course time estimate above.
Progress is saved in this browser only. No account needed.
Cost and certificate
Google does not offer a certificate for this course.
Before you start: Algebra and basic statistics; Basic Python
Google sets the terms and can change them. Check the course page before you commit serious time, and tell us if something changed.
Quick answers
- Is Machine Learning Crash Course really free?
- Yes, the course material is free on Google. Google does not offer a certificate for this course.
- How long does Machine Learning Crash Course take?
- Plan for about 14 hrs in total (Google's module estimates add up to about 13.5 hours, excluding prework.). It is self-paced, so you can go faster or slower.
- Do I need experience before Machine Learning Crash Course?
- It helps to have: Algebra and basic statistics; Basic Python.
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