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
Commitment7 weeks of study, 5-8 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See what learners said
Syllabus

FAQs
How It Works
Задания курса
Задания курса

Каждый курс — это интерактивный учебник, который содержит видеоматериалы, тесты и проекты.

Помощь сокурсников
Помощь сокурсников

Общайтесь с тысячами других учащихся: обсуждайте идеи, материалы курса и помогайте друг другу осваивать новые понятия.

Сертификаты
Сертификаты

Получите документы о прохождении курсов и поделитесь своим успехом с друзьями, коллегами и работодателями.

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 4.7 out of 5 of 1,790 ratings

Another great course from this specialization. Tremendous effort in making the notebooks and assignments. I just think there could be recommended readings also.

As usual this was also a great course, except

⊃゜Д゜)⊃ decision trees ⊂(゜Д゜⊂

I am not saying presently anythings bad or incorrect, but I just dont feel familiar with this. It is one tough topic to understand. I think it would have been great if there were some videos and lectures where some programming example were also given, this would have helped out a lot in programming assignments.

Also there is another thing that I think should have been addressed (at least in one of the courses, unless you did it in course 4 the last one which I havent done yet) : vectorisation - instead of looping through each weight how it could be achieved at once through vectorisation.

Good Mooc

In detail course for understanding the various concepts of classification. Instead of relying on the libraries, the course focuses on teaching the algorithm implementation using coding language of user's choice. This helps in understanding the algorithms better.