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

Basic Info
Course 1 of 4 in the Machine Learning Specialization.
Commitment6 weeks of study, 5-8 hours/week
English, Subtitles: Korean, Vietnamese, Chinese (Simplified)
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said

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 4.6 out of 5 of 5,508 ratings

Good to start with.

will certainly continue on with the rest of the series. so interesting!

A very good introduction to Machine Learning Concepts & Principles. Easy to understand, while at the same time, giving a solid foundation on the models.

The only detractor is: usage of GraphLab - feels very custom and thrust upon. Definitely easier to use due to the abstraction inherent ion the programming constructs provided but IMHO, would have been much better to use more generic and popular packages like sci-kit, TensorFlow, etc.

Finally, the DL concepts in week6 felt a bit rushed and confusing. Admittedly, it maybe hard to abstract into a week.

I liked the interactive python programming however the course could be more rigorous for my tastes.