Created by:  Stanford University

  • Andrew Ng

    Taught by:  Andrew Ng, Associate Professor, Stanford University; Chief Scientist, Baidu; Chairman and Co-founder, Coursera

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 34,910 ratings

This course covers a lot of ground of ML applications, and while it doesn't go into the theoretical depth that some of the other classes do, it gives a very nice hands-on feel for what it's like to run ML algorithms.

Homework assignments are well written and very guided. I actually found them to be too guided at times, but if you want, you can always go the extra mile to solve problems from the ground up, rather than relying on pre-written code in the homework packages.

Special thanks to the moderators who made the course interactive and always jumped on answering questions!

It is a great course! A lot of useful information and easy to understand. Thank you, Professor Ng!

Great course! However, could there be some real examples about Photo OCR in enterprise? That will be Excellent!!!

Fantastic course. Had a great time learning!