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.

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!

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.

Programming assignments were not challenging. Good course coverage.

I like very much the architecture-based approach of these courses/ specialization.

At the end, the goal of an Enterprise, in a general sense, is to satisfy the local or global community necessity in an effective and efficient way. Surreally with the choose of the correct technology, frameworks, languages, instructions, details.... but , at the end, what is really important is the value offered.

That said, I think, that this specialization, provides the mindset, the knowledge, the skills and tools applicable in a corporate environment. Technology is important, yes, but, from my point of view, it is most important to consider the value that is emerging from the holistic approach of all the topics in the different modules of the courses, including also the final capstone project.

Thank you very much Romeo and all instructors for this continuous learning professional opportunity

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

A career changer course, thanks the hand-ons which is second to none, i have gained experience which on other online course can produce, thanks to IBM for this course which timely and excellent.

Great course for beginners who want become advanced users in signal processing and machine learning. Thanks a lot for great examples and letting me know what I should learn in next steps.

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!!!

Great course. Finally after learning Transformation methods like Fourier and Wavelet, I finally got to learn real life problem solving capabilities of them. Learned a lot!!!!!

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

The explanation of some of the black box tools like PCA, Covariance, and Fourier Transformation is amazing and very clear and easy to understand.

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

A really good course on advanced topics of machine learning and signal processing with an in-depth explanation of each topic very clearly.

Excellent material and Instructors. It would be great f we could get the instructor's sample notebooks that they used in their lectures

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.

It was a really nice course to learn the way to implement the most used ML algorithms with an easily scalable method

Quite different from the previous course! Much better, with more thorough explanations and hands on experience.

Very well structured, easy to follow/understand. This is a hot topic at the moment and helped me in my job.

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

Very good data science specialization covering many interesting advanced technologies!

Very good course for learning, Fourier transformation explanation was the best one

The Signal Processing was eye-opening as a way to extract data from sampled data.

Great Course. You'll learn a lot about the mathematics of some key algorithms.