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.
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.
par ANGELICA D C•
Al inicio del curso, toda la programación es fácil, pero a medida que avanza se va complicando. Sugeriría que pusieran más notas en el código para entender las operaciones más complejas.
par Pankaj K•
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!.
par Li Y S•
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.
par Diogo J A P•
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.
par Subba R V O•
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.
par Nelson P•
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.
par Olga K•
Excellent course! Subjects are explained very well! Excellent quizzes that allow understanding of lectures better and excellent (challenging ) programming assignments.
par Illia K•
Everything is clear in the course. A suggestion: for the programming assignments it would be better to write more than just 1 line of code in the proposed functions.
par Kate S•
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.
par Pankaj K J•
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
par Alvaro M M•
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.
par Ch S•
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.
par Jay K S•
Excellent course material and fantastic delivery. You guys made this complex learning so simple and interesting . Thanks for all this, keep the good works.
par Dohyoung C•
LDA is little bit difficult to understand, but K-mean and Mixture models are easy to understand and quite important for clustering..
par Rama K R N R G•
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.
par David P•
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!!!
par Chandrashekar T•
The material covered in this course is immense and gives a deep understanding of several algorithms required to perform unsupervised learning tasks.
par Mohd A•
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.
par Jialie ( Y•
The course is really helpful, though it would be better for teacher to illustrate the concepts by using examples, instead of abstract terminologies
par Mark W•
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!
par Manuel T F•
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!
par Brandon H•
This was probably the most challenging course of them all, I thoroughly enjoyed it! Looking forward to dimensionality reduction and the capstone.
par Tripat S•
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
par sandeep d•
excellent course by Emily and Carlos
I am glad to have this course
it contains clear view regarding clustering and its applications from roots