Created by:  Stanford University

  • Andrew Ng

    Taught by:  Andrew Ng, Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain

Language
English, Subtitles: Spanish, Hindi, Japanese, Chinese (Simplified)
How To PassPass all graded assignments to complete the course.
User Ratings
4.9 stars
Average User Rating 4.9See what learners said
Syllabus

FAQs
How It Works
Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers
Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
Stanford University
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
Ratings and Reviews
Rated 4.9 out of 5 of 41,605 ratings

Thank you for this awesome course! It is my first machine learning couse. May be better if provide Python alternative for assignments. Since MATLAB is not free and octave does not have a large population.

It is a really helpful course in teaching me the basic of machine learning. Instead of just telling me how to implement things in existing library, the courses taught me the concepts of how to develop and solve machine learning problems. Definitely the best online course I have taken.

This course gives a detailed insight in how some machine learning algorithms work and how you can apply them effectively. It has a good balance between theory and getting hands-on experience which I very much liked.

Throughout this 11-week course by Prof. Ng, I have gained a complete (or I think I have gained) overview of machine learning. Here, I would like to express my sincere thankfulness to Prof. Ng. Thank you very much for all these vivid and clear explanation!