Very good course. Too long interval between modules make hard for non-Python developers. Easy to forget some of the Python structures.

Great course on machine learning, however, left us in middle of learning, Recommender System + Deep Learning Capstone is missing

Good course overall.

Starting to get more on the side of being mostly implemented and only needing to insert a line or two.

At some topics more explaination (eg. Map reduce and LDA) needed although as a whole it is good course.

More detail on theory behind LDA and HMMs would have been useful. Otherwise, another brilliant course!

Although the concept is good, datasets and code in assignments are modified and give strange result

Good survey of the material, but assignments are superficial and don't test thorough understanding.

Great course. Some week were tough others too easy, but general a very interesting course.

The last weeks, we went through the material a little bit too fast.

Excellent course with very detailed explanations and assignments

Great Course!

Too bad we don't have the last 2 courses....

I did not understand LDA from the course materials.

Nice intuitive course with lots of understanding.

Should use pandas instead of Graph Lab Create

Nice explanation on clustering methods.

Great Course! Tough topics well taught

t​he course was just awesome

Great course like the others

awesome clustering course

I liked the slides.

I liked it a lot

good

I have enrolled myself in the other Machine Learning courses offered by Uwash , but have to say this was not properly organized. I had got my certificates for the other courses easily , not because the contents was easy , but was easily understandable and well organized and there was a great sense of satisfaction after getting the certificate because of the knowledge gained.But unfortunately for this course , especially the week 4 and week 5 was lengthy and not up to the point and the quizzes were hence not seem to be related. So got my certificate after a bit of struggle.

I'm planning to see other online materials related to week 4 and week 5 , as couldn't completely understand from this one. If you can modify those two weeks, it would be great. I hope you continue the great work of illuminating millions of young people's interests through your great courses and organization. Thank you from the bottom of my heart.

The retrieval part of this course is great, it deserve five starts. The clustering part was going well until it reached LDA.

The LDA module is very poorly covered, and also very hard to understand. I had to watch the videos more than two times to try to figure out what was LDA, and a Quora article posted in the Forum could explain it much better.

Then we get to the Hierarchical Clustering module, which was the most poorly module in all this specialization. There is only one video talking about HMM models, and Markov Chains deserve at least one week to even get started with it. And to complete, there is just one Assignment with only 3 questions.

The specialization was going perfect until now. I am very disappointed with this course. I hope the last two courses are much better covered and not just ran over like this this one was.

Emily and Carlos have done a wonderful job overall in stitching the specialization together. Bit disappointed by the shortening of the same by exclusive of the other two courses. Would have loved to do that having come forward to this extent. A minor feedback about the 4th course which I felt was that there was more reliance on verbal communication during lectures than on analogies or examples, making it tough to grasp certain concepts (or needing too much of focus on the verbiage). The assignments in the end and worked out examples were what turned out to be helpful at the end of the day, so kudos for providing them. I overall liked the journey and hopefully looking forward to implement the skills I have imbibed. Thank you and stay safe!