Mar 17, 2016
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!
May 05, 2020
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
교육 기관: James Q•
Apr 14, 2018
Excellent materials. I don't agree with some of the programming principals, but the ML stuff is spot on and I'm using these lessons daily.
교육 기관: Ayush S•
Sep 02, 2016
Excellent series of courses. Before this was confused what was my interest in Computer Science, now I've found Machine Learning, perfect.
교육 기관: Kirill D•
Feb 09, 2016
I think you should make update process of Graphlab more intuitive, this was the only problem I have faced during this wonderful course!
교육 기관: diego n•
Feb 01, 2016
Better deep understanding of common machine learning concepts. Still learn some different things than those exposed on andrew ng course
교육 기관: Amirhossein S•
Jan 13, 2019
Well, I think Carlos teaches way more enthusiastically and energetically than Emily! But I did enjoy my course on this specialization.
교육 기관: Baubak G•
May 24, 2018
I think the forum activity is a bit low, and I think in some cases the things are overly describes whereas in others it goes too fast.
교육 기관: Sameer C•
Jun 25, 2016
Overall, the course was really good. But, it would be great if the concept of co-ordinate descent was explained much more clearly.
교육 기관: RAUL E G•
Jan 11, 2018
Great course - but the exercise and exams are challenging - which is good if you have the programming experience. One really
교육 기관: Krishna C•
Jan 18, 2016
Its a great course.Please add a module about how to find the significant variables after using all these technologies.
교육 기관: Shashank A•
Jun 03, 2020
Good but needs to updated according to python3, for eq:- print function need brackets in python3 but not python2
교육 기관: Oleg S•
Oct 10, 2017
...have to be a real statistician and pythonist...
...need time to absorb new skills...
교육 기관: Moises V•
Mar 24, 2016
This course is well structured. It covered a good parts of details I was missing on my machine learning path.
교육 기관: Ayswarya S•
Feb 05, 2019
Well taught !!Could have been better if practical teaching was more !!I mean teaching via coding was more:)
교육 기관: Varun R•
Feb 06, 2016
Quite a hard course...
But laid great foundations and reduced the dependence on graphlab.
교육 기관: Jack L•
Dec 09, 2015
Good course! Teachers are perfect and knowledge is overall, but the exercise need some improvement.
교육 기관: Borislav S•
Feb 06, 2017
Great course. Can only be better if we were taught in the industry standard libraries (fe. SciPy)
교육 기관: Farrukh N A•
Jan 11, 2017
Overall its a good course on Regression, although its more driven toward mathematics and statics.
교육 기관: Piyush G•
Feb 25, 2019
The programming assignments were tough ! but the course covers the content very effectively..
교육 기관: Onwumere O B•
Mar 15, 2016
The course is really well explained and skills obtained are quite valuable in the labor market
교육 기관: Braden W•
Aug 13, 2018
Great, difficult course. The Graphlab vs scikit thing is the only reason I dock it a star.
교육 기관: Morgan M•
Oct 13, 2017
Good, well structured. Content can get a bit dense at times, but good to be challenged!
교육 기관: J G•
Jul 09, 2018
It is a good course, it is really challenging learning how to do it from scratch.
교육 기관: Steve M•
Nov 17, 2016
A good course overall. at time, the programming assignment is somewhat confusing.
교육 기관: Saad•
Jun 23, 2016
Great introductory course for regression analysis and very practical indeed!
교육 기관: Sourabh S•
Mar 22, 2017
Course covers in depth many topics. Only some issues with using Pandas.