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.

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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 2,525 ratings

The material in this course is very interesting. I feel comfortable with the concepts and algorithms. I am definitely prepared to utilize these skills in an entry-level manner - it will take some hands-on practice with real datasets to build expertise, understand the nuances of these approaches and expand my knowledge base. I recommend a decent level of comfort with programming. I completed the Python for Everybody specialization, but still struggled with the programming in this course.

It's a truely amazing course. Having studied so much econometrics from undergraduate to PhD, I still learnt so much from this regression course. This course teaches me regressions in a way that is very different from any economics/business schools I have ever attended. While it is technically less demanding than most econometric courses from second year (UG) onwards, it is the applied/practical nature of this course that makes it so valuable.

useful and easy to understand. Teacher is very nice.

This is one of my favorite courses for ML, The best course for learning regression stuffs ever. I really love it.