Machine Learning

Nevertheless, course it great and cover major points in the machine learning field.

I am very disappointed that the remaining courses will not be offered and am now in search for another great machine learning resource.

This specialization is very good for machine learning beginner.

Even though I had some machine learning background, this course provided new insights and new algorithms, like KDTree, Locally Sensitive Hashing, Latent Dirichlet Allocation, and mixture of Gaussians.

First, it is a very challenging part of the Machine Learning.

I enrolled in this specialization to learn machine learning using GraphLab Create.

must for machine learning beginners!!

Brilliant, anyone interested to get proficient in Data Science and Machine Learning need to take this course.

It doesn't focus on how we implement the core functions of machine learning but it was all of benefits and very very good to me i have learned a lot of things thank you all it's very tough and challenging course for me thank you all.

It made me interested to go out and learn other machine learning methods which are derived from what was taught.

This course was my first encounter with Machine Learning!

]Regardless of what various machine learning course mention as prerequisites, I think students would benefit from first developing a strong foundation in programming (in this case Python), calculus, probability, and linear algebra.

For most modules of this course (other than the LDA part), the lecture videos are clear as before but the programming assignments are more demanding.

Theory is cool but programming assignments requires proficient phyton knowledge.

The programming assignments are only doable because most of the work has been done by the people designing the assignments.

Altogether, this makes doing the programming assignments very unsatisfying.Finally, the professor presenting the materials does not take part in the discussion forums.

Excellent quizzes that allow understanding of lectures better and excellent (challenging ) programming assignments.

Great course like the others An interesting topic, presented well by the instructor and reinforced by intermediate-level programming assignments.

The things I liked:-The professor seems very knowledgeable about all the subjects and she also can convey them in a very understandable way (kudos to her since talking to a camera is not easy)-The course was well organized and the deadlines were adjusted when a technical difficulty was found by several students-All the assignments are easy to follow and very detailed -The testing code provided for the programming assignments is a huge help to make sure we are solving it the right wayWhat can be improved:-Some of the concepts during weeks 4 and 5 seemed a bit rushed.

Although the professor explained that some details were outside of the scope of this course, I felt that I needed a more thorough explanation in order to understand better-Some links to the documentation of libraries used in the programming assignments were lacking information on how to really use them, I wish we had some other link to worked examples too In general I can say this was another good course for this series.

It includes several programming assignments which can be tackled with minimal programming experience if one perseveres.

The quiz and the programming assignments are good and help in applying the course attended.

I would consider the programming assignments from medium to hard difficulty.

Thank you so much, Emily and Carlos!

Emily and Carlos are fantastic teachers and have clearly put in a huge amount of effort in makign a great course.

Thank you, Emily and Carlos.

Another great hit by Emily and Carlos!!!

After this course, it is a bit dazzling how much different algorithms and methods are available for clustering and retrieval tasks and this course easily could have been subdivided into two or three separate courses on the same topic with a more detailed treatment.

A great course to get the grass-root level understanding of Clustering and Retrieval tasks and going beyond to Unsupervised learning and the core concepts related to it.

Overall, it was a good course, but the best way to judge this would have been to ask a question like this - "what if people did clustering and retrieval even before they did other modules (regression and classification) - would the faculty have dealt the subject in the same way?

good to learn what is clustering and retrieval Too little "case-study" approach Need more details in the coarse.

I think it is easy to understand and good to practice.

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

Excellent course on clustering & retrieval by University of Washington Wish to have more detail on implementing the algorithm.

Very good slides which are well formulated and easy to understand Doesn't go quite as deep into the details as some of the other Machine Learning courses from the University of Washington do.

The general concept can be understood from a 10,000 feet altitude but the lesson and programming assignment need to be reviewed, maybe with a slower step by step example.As some other student mentioned, it was... "brutal".Other than that looking forward to the next course in the specialization!

looking forward for SVM and deep learning material.

I'm looking forward to see more advanced courses in these topics from Carlos and Emily.

I hope the last two courses are much better covered and not just ran over like this this one was.

THANK YOU advanced knowledge on ML, great course Some of the contents of this course are interesting, but it seems that this course has been very affected by the changes that forced the cancellation of the last two courses of the specialization.

The assignments are notably a little bit harder than the previous courses.

Good class, But it would be much better if the quiz is open to those who doesn't pay.

The course could have been much better if graphlab as well as scikit coding would have been taught side by side.

With this in hand I will be able to go out there and explore and understand things much better.