Very good introductory course with an excellent mix of theoretical and hands-on content.

course is really good with real life examples. Able to correlate well with the concepts

this course should include some more coding about python in manchine learning and knn

it's very cool base and i hope next specialization course will get more into details.

The first week was a little chatty but the content of the rest of the weeks is good.

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Good course despite the technical issues with GraphLab Create in Coursera Notebook.

Good on presenting and using ML tools, but the part of principle is not good enough

I enjoyed this course but I think assignments could be a little bit more difficult.

great course overall , just a little bit outdated ! but great course to start with

a very good introduction for machine learning with good examples and explainations

good course, but the diffrence between turicreate and graphlab is a bit suffering

good, But check whether your pc can run on graphlab before taking up this course.

Need some improvement like much more focus on statistical concepts behind program

This is very good course. This is helpful for me. Some problem on using graphlab.

The course needs to update the laboratory files, since the commands are outdated

Preety good course but instead of Sframe , i prefer pandas and sklearn libraries

Very nice foundation course in Machine Learning especially with GraphLab create.

Very nice content but dont like we use graphlab since i wont use it after course

Last module on Deep learning is not explained well as compared to other modules.

great introductory course to machine learning, includes almost all the aspects.

very good for one who has no idea about machine learning , but I dont like dato

very nice! A little bit more of reading material would be interesting, though..

hands on material is overly simplified perhaps because it is foundation course