Learner Reviews & Feedback for Machine Learning: Regression by University of Washington
About the Course
Top reviews
Excellent professor. Fundamentals and math are provided as well. Very good notebooks for the assignments...it’s just that turicreate library that caused some issues, however the course deserves a 5/5
I really enjoyed all the concepts and implementations I did along this course....except during the Lasso module. I found this module harder than the others but very interesting as well. Great course!
901 - 925 of 966 Reviews for Machine Learning: Regression
By Aman G
•Don't bug me regarding the review.
By gaozhipeng
•Nice course! Thank you very much ~
By Paul M
•Excellent overview. Great slides
By Michael L
•Far too math, much less practice
By Shashidhar Y
•Good interactive courses.
By Зелинский Н Р
•several errors in exams
By Jeyaprabu
•detailed but slower...
By Gaurav S
•Good and Insightful
By Mehul P
•Nicely explained.
By Sandeep K S
•excellent course
By 吴青
•actually good
By James H
•Great course
By Abhishek m
•nice course
By PHILIPPE R
•Nice course
By NIGAM P
•Great Job!
By Rohit K S
•Nice One!!
By Bruno G E
•Awesome!
By Sorin S
•Great
By VIGNESHKUMAR R
•good
By Irfan S
•C
By Oliverio J S J
•This course has interesting contents about the regression algorithms but sometimes it goes into too many mathematical details and it is easy to get lost. I'm not sure that much detail is necessary to understand what algorithms do, something else is missing to explain them intuitively. On the otThis course has interesting contents about regression algorithms but sometimes it goes into too many mathematical details and it is easy to get lost. I'm not sure that so much detail is necessary to understand what these algorithms do; more intuitive explanations are missing. On the other hand, as in the previous course, the material has not been updated to reflect that the last courses of the specialty have been canceled.This course has interesting contents about the regression algorithms but sometimes it goes into too many mathematical details and it is easy to get lost. I'm not sure that much detail is necessary to understand what algorithms do, something else is missing to explain them intuitively. On the other hand, as in the previous academic year, the material has not been updated to reflect that the last courses of the specialty have been canceled.her hand, as in the previous academic year, the material has not been updated to reflect that the last courses of the specialty have been canceled.This course has interesting contents about the regression algorithms but sometimes it goes into too many mathematical details and it is easy to get lost. I'm not sure that much detail is necessary to understand what algorithms do, something else is missing to explain them intuitively. On the other hand, as in the previous academic year, the material has not been updated to reflect that the last courses of the specialty have been canceled.
By Terry S
•This course offers great background instruction on Machine Learning and I would give it 5 stars except for the following:
First, there doesn't seem to be any moderation of the session discussions except for help from other students. This was worth a -2 star penalty. This and the lack of any review of linear algebra and vectorized solutions, I think, is giving some students the impression that they should be coding loops in their functions to build and solve ML models.
Next, I am auditing the course, and this is the first course where I was not able to submit quizzes. Therefore, I can only guess at my solutions. This was worth a -1 star penalty.
UPDATE: not being able to submit quizzes is a "feature" of the new Coursera platform. I never did get an answer from the discussion forums, but I see the same problem in other Coursera courses I am taking.
However, I still think the course is worth taking, so I added back a star. This is the second ML course I have taken. The first was from Stanford ML course which was very specific to implementation in the Octave language. I got a lot more background information from this course, and I think it is well taught. Just wish there were more moderators that were actively watching the discussion list.
By Gabriele P
•The program is well structured, the lessons are interesting and the hands on nice. However, the instructor should really consider to update their material to python 3 + turicreate. Python 2 is reaching EOL in 2020 and should be avoided for teaching/training. I did most of my notebooks with python 3 and turicreate, it is really worth the effort to update the material. The tests are ok, but some looked somewhat buggy (as reported in the forum by many users) and could use a revision
By Shane R
•Good topics and well enough explained, I really did learn a bit. But getting through the course is torture if you are using Sklearn (rather than using their tool TuriCreate). The Programming Assignments use different data sets (sometimes?) and are troublesome to download. From a purely UX viewpoint, the assignments are wordy/difficult to follow along with at some points (even when the content is not so difficult)
By Ahmed S
•The instructors have put a lot of effort into this course and I really appreciate that but unfortunately, I was hoping that the assignments were more interactive like in the deep learning specialization and the tool used is not required at all in any job I searched for also It's not required to use it. I learned a lot out of this course but please update the tools used in this course
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