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.
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.
by Subba R V O•
Jan 30, 2020
A great course, well organized and delivered with detailed info and examples. The quiz and the programming assignments are good and help in applying the course attended.
by Nelson P•
Dec 16, 2019
Excellent course. I liked the material and the assignments are great to consolidate the learning. I really liked the recap videos to solidify even more what I learned.
by Olga K•
Sep 23, 2016
Excellent course! Subjects are explained very well! Excellent quizzes that allow understanding of lectures better and excellent (challenging ) programming assignments.
by Kate S•
Jun 30, 2017
I really enjoyed and learned a lot from this class. It made me interested to go out and learn other machine learning methods which are derived from what was taught.
by Pankaj K J•
Oct 28, 2017
A great course to understand clustering as well as text mining. Lectures on KDD and LSH are equally important to understand and implement these algo . Many thanks
by Alvaro M M•
Jan 07, 2018
I liked it a lot. My only problem was to get the GraphLab to work here. Loved the option to download the videos and material before and the content is awesome.
by Ch S•
Feb 12, 2020
Excellent Course. This course provides in depth understanding of what's going in the background when an algorithm runs and how we can tune it for our purpose.
by Jay K S•
Jan 05, 2019
Excellent course material and fantastic delivery. You guys made this complex learning so simple and interesting . Thanks for all this, keep the good works.
by Dohyoung C•
Jun 04, 2019
LDA is little bit difficult to understand, but K-mean and Mixture models are easy to understand and quite important for clustering..
by Rama K R N R G•
Sep 09, 2017
Good presentation of topics. Detailed walk through of few advanced topics covered at the end would have been great. Felt the presentation went too fast.
by Chandrashekar T•
Oct 11, 2016
The material covered in this course is immense and gives a deep understanding of several algorithms required to perform unsupervised learning tasks.
by Mohd A•
Aug 14, 2016
This is the toughest courses in the specialization so far. But if you manage to complete it, you'll have some really advance skills under your belt.
by Jialie ( Y•
Feb 21, 2019
The course is really helpful, though it would be better for teacher to illustrate the concepts by using examples, instead of abstract terminologies
by Mark W•
Aug 12, 2017
Excellent course. Emily and Carlos are fantastic teachers and have clearly put in a huge amount of effort in makign a great course. Thanks guys!
by Manuel T F•
Sep 24, 2017
Since I took the courses 1, 2 and 3 of this series, I really enjoyed this fourth part a lot!
Now I'm really looking forward to do some clustering!
by Brandon H•
Dec 14, 2016
This was probably the most challenging course of them all, I thoroughly enjoyed it! Looking forward to dimensionality reduction and the capstone.
by Tripat S•
Aug 07, 2016
This is the best course in ML - would recommend it ...the sequence of the courses is the best...the specialization in this ML is a career boost
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 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