Jan 17, 2017
Excellent course, well thought out lectures and problem sets. The programming assignments offer an appropriate amount of guidance that allows the students to work through the material on their own.
Aug 25, 2016
excellent material! It would be nice, however, to mention some reading material, books or articles, for those interested in the details and the theories behind the concepts presented in the course.
By Shaowei P•
Aug 08, 2016
very good course but the last few topics could be improved with better assignments that could be broken down into smaller sub assignments
By Jared C•
Aug 07, 2016
Exceptional course! This is challenging material for me, but it's presented in such a coherent manner that you can't help but absorb it.
By Saqib N S•
Dec 05, 2016
The course dived into basic and advanced concepts of unsupervised learning. As before, Prof Fox did a great job at explaining things.
By Yao X•
Sep 30, 2019
Wish to have more detail on implementing the algorithm. Assignments are too easy for understanding the knowledge behind the scene.
By Songxiang L•
Dec 04, 2016
Very good, not only learn many good ML concepts, but also polish my python programming skill a lot. Thank you, Emily and Carlos.
By Dongliang Z•
Mar 22, 2018
I enjoyed this course. This specialization is very good for machine learning beginner. Look forward to the next course anyway.
By Целых А Н•
Jun 07, 2020
Find the course useful. The authors presented a simple and clear visualization of the meaning of algorithms. Excellent!
By Robert C•
Feb 16, 2018
Emily was fantastic at explaining difficult to understand concepts. Thoroughly enjoyed the course, and learned quite a lot.
By Kuntal G•
Nov 03, 2016
Very Good in depth explanation and hand-on lab machine learning course. very focused on real world analytics and algorithms
By Arun K P•
Oct 27, 2018
Very useful and informative .It help and provide confidence to the job more effectively. Thanks for the help and good cour
By José M T•
Apr 14, 2017
The teachers are really amazing. They do not just explain it as if they read a book. They explain the concepts very well
By Vikash S N•
Feb 03, 2019
It was great but I was also interested to implement the solutions with pyspark...though I did it eventually. Thank you!
By Marc G•
Oct 21, 2017
Clear and well designed course. The assignments are quite thorough. Sometimes, quiz question are not so clear though.
By Andrey N•
Mar 12, 2017
Some themes are shown very superficially it would be great to go deeper. Despite of this the course is great!
By Rohan K•
Mar 22, 2018
Good introduction to very complicated concepts. I now have the tools to learn more about HHMs and anomaly detection.
By Justin K•
Aug 17, 2016
An interesting topic, presented well by the instructor and reinforced by intermediate-level programming assignments.
By Somu P•
Nov 17, 2018
Excellent course, which gives you all you need to learn about machine learning. Concepts and hands on practical ex
By Freeze F•
Oct 26, 2016
From LDA onwards the pace ramped up ! Please be slow during advance topics. But altogether it was a great course.
By Fahad S•
Nov 03, 2018
Emily ross is an amazing instructor. The course introduces many complex topics and presents them intuitively.
By Patrick M•
Aug 09, 2016
Excellent course. Nice selection of algorithms reviewed - all clearly explained with sample implementations.
By Jorge L•
May 26, 2017
I'm a grad student and I can notice the instructor makes a difference in this course. I fully recommend it.
May 07, 2017
very good! strongly recommend to people who want to start a career on data science or are interested in it
By Prasant K S•
Dec 21, 2016
It is explained in simple and lucid language by expert Emily and codes illustrated by Carlos. Go for it.
By João S•
Aug 07, 2016
Great course. Well packed, well explained, nice practical examples, good all around MOOC with of info.
By Geoff B•
Jul 14, 2016
Another great introduction. The assignments are notably a little bit harder than the previous courses.