I feel bad giving it such a low rating, but I have to be honest. I did not learn much from this course. There was nothing "advanced" about the machine learning, and image processing was only gone over in the final week, and it was mostly just an overview of the important topics/concepts. This course lacked the rigour and depth I was expecting. Maybe my expectations were too high. The assignments given were very simple. There should have been more interesting projects/assignments. The quality of the lecture videos was mediocre, in terms of both presentation and content. Someone can finish this course within a week, in fact just a few days, without even putting much effort into it. Overall this course lacked a coherent structure and it felt like it was put together in haste without much consideration for students.

best course to gross, even for beginer

O Curso é ótimo e apresenta muitos conceitos de Machine Learning e Processamento de sinais, mas faço uma ressalva, pois como o próprio nome diz é Avançado e o candidato precisa ter uma boa base de programação, particularmente precisei pesquisar bastante sobre Apache Spark e Systemml pois minha formação não é de TI.

Blew my mind...partly )))

Instructor english is very bad and the content is not clear especially the systemML section.

I am still studying the course but I fairly understand the instructor english even the subtitle has too many misspelling.

This was a nice review of my undergraduate work at Northwestern, except that we didn't have Spark back in the day. Very cool course.

second star is just because I was able to finish the course

The PCA/FT/FFT material is awesome. The presentation is great. The assignments while not great, where a sufficient taste of watson studio.

Excelente curso, com ótimas explicações, bem detalhadas e sem rodeios. Os exemplos são práticos e abrangentes! Parabéns à equipe do Coursera e à IBM pelo excelente curso! Nota 1000!!!

good introduction. well choosen chunks of information.

The theory is good but the excercies could be more complete and big to cover all the points in the theory

Course was hard to complete due to the version problems. Instructors should update material so that the course can be done with newest versions of programs.

In general the course is excellent. However, it had a lot of information contained for a 4 week period especially week 2. I definitely learned a lot.

A tad too much IoT for my professional interests (was part of larger "Specialization")

This is the second in the Advanced certificate series. By this time you are starting to understand their teaching method. So it is a better experience than the first one. Also you are getting more experience with the studio, cloudant, and Node-RED - which is very helpful and rewarding.

Interesting that they add signal processiong and IoT. Something usually overlooked in other courses

Great course. superb instructor Sir Romeo. !! I am big fan of him now. !!

Very good, only the english from guest lecture is horrible.

Great course overall. A few small wrinkles that need fixing.

Pretty bad.

Excellent Material. The lectures and assignments are very good. Lectures sometimes felt a bit theoretical but needed that to understand concepts well.

This course introduces some of the most popular methods of supervised and unsupervised machine learning. While it doesn't go deep into details behind the intuition, it gives a good explanation of when and why these algorithms can be applied.

I would like to recommend this course this is really interesting and most interesting part is the signal processing which builds an proper understanding of the math buzzwords like fourier and wavelet transform.

5 stars to the course

Programming assignments were not challenging. Good course coverage.

Such great material. I really loved working out the notebooks. I have to go back and redo the IoT starter exercise to get better accuracy, but this was awesome!