Chevron Left
Back to Machine Learning Foundations: A Case Study Approach

Learner Reviews & Feedback for Machine Learning Foundations: A Case Study Approach by University of Washington

4.6
stars
13,498 ratings

About the Course

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can
improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning
and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At
the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user
reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with thes...
...

Top reviews

BL

Oct 16, 2016

Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much

SZ

Dec 19, 2016

Great course! Emily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.

Filter by:

2601 - 2625 of 3,146 Reviews for Machine Learning Foundations: A Case Study Approach

By Kuldeep K

•

May 11, 2020

Kindly change the GraphLab package system, the majority of the compiler doesn't support this.

Else it was good

By Azhar B T

•

Sep 16, 2019

the course is good but rely on graphlab and lack of hands on with python is the reason i cannot give 5 stars.

By Philip L

•

Nov 12, 2016

Some quiz questions' answers are incorrect and instructors need to update the quit to reflect correct answers

By Islam M

•

Apr 19, 2016

-great introduction .

-go through a lot of exciting topics.

-but the implementation part is boring something.

By M.sakif m

•

Nov 16, 2015

Interesting class, but should have used open source python libraries instead of restricted license libraries.

By mohd s

•

Sep 15, 2019

Amazing they guide me help .Special sir working on project .It clear my concept with the real world example.

By Vasudev V

•

Feb 19, 2017

It would be great if you could intersperse theory and practical sessions. Otherwise, a very useful course...

By Mohit P

•

Mar 12, 2019

This course is a great starting point who has no earlier experience of ML. . Cheers to the course makers!!!

By Yuting S

•

Feb 26, 2019

Wonderful course.

The only problem is that I can't review the course materials after completing the course.

By C K S

•

May 28, 2018

Course was nice and especially special thanks to both the faculty's who make us to understand the course.

By Benson C

•

Sep 4, 2017

Interesting, I never used graphlab before. It would be better if this course went through algorithm deeper.

By Javier M

•

Jul 17, 2017

Great introduction to the topic. I think the juniper notebook is still buggy. Its stability can be improved

By Sergio A M

•

May 14, 2016

It is a great introduction but this could be done by adding a week more in each of the following courses.

By Veera R

•

Mar 11, 2016

Case study approach followed in this courser is very use full and helps to understand the methods better.

By Clotilde D

•

Jan 5, 2016

good overview, a little bit hard regarding the deep learning course, that would require more explanations

By Hitesh D

•

Oct 1, 2019

The course has helped me understand basic of Machine learning and has created interest for me.

Thanks :)

By Pushpak T

•

Mar 13, 2016

Gives a high-level understanding of machine learning concepts and focuses a lot on its application part.

By Rajkumar D

•

Mar 2, 2016

Good Start up with case study approach to just understand what we gonna learn in further specialization.

By ashish

•

May 2, 2018

The course from coursera was well delivered. Albeit, their seems to be too much dependency on graphlab.

By Mohit A

•

Nov 12, 2019

Great learning experience! We should have option of videos with exercises using Pandas & scikit learn.

By Michele P

•

Sep 5, 2017

Good introduction, although the implementation exercises use mainly GraphLab which is not open-source

By Santosh W

•

Feb 16, 2016

Useful course. Covered good amount of usecases for Machine learning concepts with handson experience.

By Cristian C H M

•

Jun 20, 2020

The videos are out dated and Turicreate doesn't work on Python 3.8 and the latest version of Ubuntu.

By Jeff L

•

Nov 29, 2015

This was a fantastic course for someone both unfamiliar with machine learning algorithms and python.

By Tomáš Z

•

Nov 30, 2018

Nice intro but it could have been more in depth, not just as a simple graphlab/turicreate tutorials