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!!!

The information obtained through this course was excellent.Enjoyed learning through this course. Thanking both the professors for making this course an enjoyable learning experience.

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!!!!!

Truely fancy course ! But I think we could add more hands-on notebook practices, this will greatly help us to improve our practical skills of performing these ML approaches.

For people with some background in signal processing, the explanations given here are very appreciated, specially the simple way that Wavelets were explained.

I loved it, it met my expectations, I read that this course was difficult for many but I think the level is decent. I don't know maybe you have simplified it

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.

Amazing course! I thoroughly enjoyed detailed explanation behind Naive Bayes and PCA. Digital signal processing is like the cheery on top!

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

Fantastic ! (just a little recommendation: before enrolling, it is recommended that you have a respectful Machine learning background

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.

I loved that the mathematical concepts behind the various techniques like Bayes theorem or Fourier transforms were well explained.

It's pretty advanced in content. Someone with a background in math would love it. I would like to learn Apache System ML coding!

Thank you so much Romeo and Nikolay. Your explanations were so clear and I feel inspired - I could listen to you both all day!

Excellent! Advances course mathematical and statistical cover along with programming in python (Apache Spark and System ML)

Whole course was to exciting and knowledge full that it bind me to go on and on until I did not gained the whole knowledge.

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.

Gives an in-depth overview of the main approaches/methods in ML and Signal Processing. Very well designed.

The course was nicely designed. Really enjoyed and learnt a lot. I especially thanks to the instructor.