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 31,120 ratings

Excellent practical course!

So helpful because this helps you understand the Theory behind all the algorithms. Bring your Linear Algebra skills to the table with this one because, as much as this is related to 'Machines', many people think it's related heavily to 'computer coding'. Although, it's main purpose is to implement that, the purpose of this course is to build a VERY strong technical knowledge-base on the understanding of such algorithms so there's ALOT of mathematics (which is awesome, being more of a math person). There are assignments in MATLAB too, which are highly helpful.

Dr. Andrew is great! Very precise and thorough explanations!

Very informative and very well explained. It is just a bit outdated as there is no mention about the availability of machine learning platforms in AWS and Azure for example.

This course is one of the best ML course in the market with deeper true understanding of the algorithms. It helped me to not only get familiar and learn ML algorithms, but my mathematics and logical thinking improved drastically.