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

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

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 2,756 ratings

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.

Great course with just the right level of detail. Had lots of fun implementing the algorithms in Python based on the instructions and all the examples helped really understand what is happening under the hood.

I love the teaching style of Emily. Her pronunciation is very clear and her short series of videos develops my interest more and more. The first course of this specialization made my interest to complete the specialization. I love the case study methodology that clarified all my confusion remained after attending the class.