Mar 06, 2020
really interesting applications and good examples. More breadth than depth but a great guide as to what the state of the art is in applying machine learning to more alternative forms of data.
Oct 03, 2020
Detailed Python notebooks clearly explained give valuable tools for analyzing data, and the lectures give ideas what to do with the analyzed data.
By Rakesh P•
Jul 31, 2020
The content is really great, but it would have been even better if the code and applications were explained in somewhat more detail.
By Jean-Luc B•
Apr 12, 2020
Good course and interesting topics but I guess the quizzes should test the capacity of the students to use the notebooks.
By Eran I•
Aug 24, 2020
Great course, lots of lab session. I was missing some hands on exercises experiencing the data
By Andrea M•
May 11, 2020
The course is fantastic. The only thing I would add is a session of practical tests.
By Elizabeth C W•
Sep 30, 2020
enjoyed the lab sessions!
By Vadim T•
May 22, 2020
It is a very good course which actually gave me a lot of ideas for my graduate research.
I am giving three start because there are no programming assignments. Quiz questions are based on the in-class labs but no opportunity is provided to play with numbers and to write your own code.
Nonetheless, excellent continuation of the sequence (unlike course 3 which is useless).
By Morten F•
Oct 04, 2020
Some items in Labs (Sentiment Analysis) were missing from course resources
By ruhiye k•
Oct 02, 2020
terribly boring make!