Learner Reviews & Feedback for Machine Learning Foundations: A Case Study Approach by University of Washington
About the Course
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
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.
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
2651 - 2675 of 3,146 Reviews for Machine Learning Foundations: A Case Study Approach
By Ibrahim G
•Aug 29, 2017
it's very cool base and i hope next specialization course will get more into details.
By Deleted A
•Oct 23, 2017
The first week was a little chatty but the content of the rest of the weeks is good.
By Chin-Teng H
•Jul 15, 2017
bomb bad awful interest present immutable sad great time tack how hungry hungry opps
By Hakim L
•Dec 3, 2018
Good course despite the technical issues with GraphLab Create in Coursera Notebook.
By Chenkai Z
•Oct 9, 2016
Good on presenting and using ML tools, but the part of principle is not good enough
By Mateusz B
•Dec 31, 2015
I enjoyed this course but I think assignments could be a little bit more difficult.
By Damián J S
•Feb 25, 2025
great course overall , just a little bit outdated ! but great course to start with
By Satyam R
•Sep 15, 2020
Thanks a lot for providing such intuitive approach towards the ML and DL Concepts.
By Kim K
•Mar 23, 2016
a very good introduction for machine learning with good examples and explainations
By Alireza A
•Sep 13, 2021
good course, but the diffrence between turicreate and graphlab is a bit suffering
By Shyam A
•Jul 7, 2020
good, But check whether your pc can run on graphlab before taking up this course.
By Sachin R G
•Jun 13, 2020
Need some improvement like much more focus on statistical concepts behind program
By Shashikant K
•Jun 9, 2020
This is very good course. This is helpful for me. Some problem on using graphlab.
By Michelle B
•Jul 1, 2021
The course needs to update the laboratory files, since the commands are outdated
By Anurag G
•Jul 22, 2020
Preety good course but instead of Sframe , i prefer pandas and sklearn libraries
By Durga P S
•Sep 9, 2018
Very nice foundation course in Machine Learning especially with GraphLab create.
By Henrik
•Jul 2, 2016
Very nice content but dont like we use graphlab since i wont use it after course
By Liebesakt S
•Mar 28, 2016
Last module on Deep learning is not explained well as compared to other modules.
By Xun Y
•Sep 8, 2018
great introductory course to machine learning, includes almost all the aspects.
By Zynab S
•Jun 30, 2016
very good for one who has no idea about machine learning , but I dont like dato
By Bruno K
•Dec 12, 2015
very nice! A little bit more of reading material would be interesting, though..
By MUBEEN M
•Jan 29, 2021
hands on material is overly simplified perhaps because it is foundation course
By Ankita S
•Oct 14, 2020
Great course !! With practical knowledge and the trending topics are captured.
By Mrutyunjaya S Y
•May 16, 2020
It given more understanding of all concepts..Its really helpfull for beginners
By mikhil i
•Dec 1, 2016
The deep learning part of the course needs to be better done. The rest is good