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

    Statistics
Basic Info
Course 3 of 4 in the Machine Learning Specialization.
Commitment7 weeks of study, 5-8 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said
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Enroll and get full access to every course in the Specialization for 7 days. Cancel any time.
Syllabus

FAQs
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Coursework
Coursework

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

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Creators
University of Washington
Pricing
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Ratings and Reviews
Rated 4.6 out of 5 of 1,356 ratings

effective teaching and practice about decision tree, boosting, and logistic regression. Could have a little more practice on gradient boosted tree/random forest

Presented content is rather clear and instructors are rather easy to follow. Only the assignments are often confusing as there are questions which refer to missing content.

Really a good course, succinct and concise.

The course 3 got pretty technical pretty soon. Enjoyed the first 2 courses without feeling overwhelmed. But course 3 was challenging. I suppose building the expectation of what is to come can reduce the challenge and lead to faster and more number of course completions.