Created by:  University of Washington

  • Carlos Guestrin

    Taught by:  Carlos Guestrin, Amazon Professor of Machine Learning

    Computer Science and Engineering

  • Emily Fox

    Taught by:  Emily Fox, Amazon Professor of Machine Learning

Basic Info
Commitment6 weeks of study, 5-8 hours/week
English, Subtitles: Korean, Vietnamese, Chinese (Simplified)
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said

How It Works

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

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University of Washington
Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.
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Ratings and Reviews
Rated 4.6 out of 5 of 5,766 ratings

Nice overview to ease into all the content!, Only bad this is they use sframe :( either make it opensource and in the mainstream use or provide the assignments in sklearn!

The professors are really fun and the case study methodology to teach the concepts of machine learning was superb. !

My first course in Coursera! totally worth it

Good course to learn the basic theory about ML. Quiz and homework is instructive.

Great course to review concepts and learn some new. Using graphlab was great to go through the concepts quickly however it is not the best approach for real life applications. I'm hoping the next courses will go deeper on how to actually work through the models and algorithms.