Created by:  University of Washington

  • Emily Fox

    Taught by:  Emily Fox, Amazon Professor of Machine Learning

    Statistics

  • Carlos Guestrin

    Taught by:  Carlos Guestrin, Amazon Professor of Machine Learning

    Computer Science and Engineering
Basic Info
Course 2 of 4 in the Machine Learning Specialization.
Commitment6 weeks of study, 5-8 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.8 stars
Average User Rating 4.8See 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

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Creators
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.
Pricing
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Ratings and Reviews
Rated 4.8 out of 5 of 2,758 ratings

One of the best courses on Regression. Covers topics in detail with all basics covered. Highly recommended for all analysts/data-scientists out there.

Amazing course which intuitive knowledge base. I personally liked the analysis part of every concept and algorithm via curves. This interpretation is very rare in most of the courses. Thanks for a such a beautiful course. And even the implementation via python graphLab was a good practise to learn.

Great course. It covers a lot of regression techniques you should know.

Very solid course for understanding machine learning principles, including developing methodical approaches to solving data problems.