Great course, all the explanations are so good and well explained in the slides. Programming assignments are pretty challenging, but give really good insight into the algorithms!.

Thanks!

I really learn a lot in this course, although the materials are very difficult at first read, but Emily's explanation were clear and I would be able to get the idea after a few review.

This was another great course. I hope that the instructors indulge in a little bit more theory. Anyway it was a magnificent course. Hope the coming courses are as good as this one.

The material is complex and challenging, but the teaching procedure is carefully thought out in a way that you quickly get it, giving you a great sense of accomplishment.

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.

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.

Excellent course! Subjects are explained very well! Excellent quizzes that allow understanding of lectures better and excellent (challenging ) programming assignments.

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.

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

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.

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.

Excellent course material and fantastic delivery. You guys made this complex learning so simple and interesting . Thanks for all this, keep the good works.

Fascinating course…

LDA is little bit difficult to understand, but K-mean and Mixture models are easy to understand and quite important for clustering..

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.

A challenging course!!! It's necessary to fix some compatibility problems with Tury and Windows, because Python 2.7 it's obsolete. I really enjoy it!!!

The material covered in this course is immense and gives a deep understanding of several algorithms required to perform unsupervised learning tasks.

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.

The course is really helpful, though it would be better for teacher to illustrate the concepts by using examples, instead of abstract terminologies

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!

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!

This was probably the most challenging course of them all, I thoroughly enjoyed it! Looking forward to dimensionality reduction and the capstone.

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

very good course but the last few topics could be improved with better assignments that could be broken down into smaller sub assignments

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.

The course dived into basic and advanced concepts of unsupervised learning. As before, Prof Fox did a great job at explaining things.