Created by:   University of Washington

  • Emily Fox

    Taught by:    Emily Fox, Amazon Professor of Machine Learning


  • Carlos Guestrin

    Taught by:    Carlos Guestrin, Amazon Professor of Machine Learning

    Computer Science and Engineering

Basic InfoCourse 2 of 6 in the Machine Learning Specialization.
Commitment6 weeks of study, 5-8 hours/week
How To PassPass all graded assignments to complete the course.
User Ratings
4.8 stars
Average User Rating 4.8See what learners said
Course 2 of Specialization


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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 4.8 out of 5 of 2,322 ratings

Excellent Course!!!

I've studied regression and other ML concepts in so many ways, but never have I been able to understand the concepts as I did after auditing this course. I learned the following the hard way: If you want to really get an intuitive, theoretical & practical understanding of ML, you have to listen to a statistician! If I were to realize this fact earlier, I would've never jumped into ML without a degree in statistics. I do highly recommend this course.

This a well thought out course. From the simple concepts it gradually takes you to the more complex ones. The quizzes and programming assignments help you to really understand the problems that were introduced in the videos. The video slides of every module can be downloaded as a pdf document which makes the material easily searchable. And last but not least Emily Fox is a great instructor.

Great Course