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 34,859 ratings

super course, I have 20 years experience with programming language and also know the mathematics rules. I know how time expensive it is to try out some ideas. So I am very happy with the recommendation of Octave to get a tool for a very quick try out mathematical ideas. If this tool will be the right one for Software-project work I am not sure, but I will see. Thank you very much for this course to Andrew Ng. I have no interest at certifcates but I will take the hole course very quick.

If there is a chance to work together in projects of machine learning and new algorithm, I have big interests.

CU Leonardo

Amazing teaching and excellent material!! muchas gracias.

precise dose of mixed theory and practice

This is a very good course for beginners and also people with 3-5 years of statistical modelling experience. I liked the structure of the course and this course gives me a very good understanding of Machine Learning Algorithms and a way to judge their performance in a way that I can implement these in my office wor