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 33,053 ratings

I thoroughly enjoyed learning Machine Learning from Professor Ng. He took an intimidating topic and simplified to the the point that anyone can learn it. He was always encouraging and reassured his students it is ok to not understand everything right away. The programming exercises were fun and linked the lecture concepts to real work applications. I will highly recommend this course to anyone who is serious about learning Machine Learning. Thank you Professor Ng!

Excellent course, very insightful and with lots of useful information

Prof. Ng's approach shows us how world class universities can help anyone to scale up easily. I would like to thank you Prof Ng, mentors, Coursera and Stanford university.

I am getting started on Machine learning journey. I am happy and very grateful to have found this and started with this course. It provided me overall perspective on various machine learning algorithms and their possible application areas. I sure hope to be able to build on this knowledge and be able to apply to real life examples. Thank you Andrew Ng for setting me up for furthering my skills in this field.