I learned a bit in terms of signal processing and the theory behind that. That could have been a course by itself, but the addition of great machine learning material made it a wonderful experience.
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.
By Jeevan P
•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.
By Prithvi S
•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!!!!!
By Emmanuel A B G
•For people with some background in signal processing, the explanations given here are very appreciated, specially the simple way that Wavelets were explained.
By Ravi K
•Excellent Material. The lectures and assignments are very good. Lectures sometimes felt a bit theoretical but needed that to understand concepts well.
By Sukh S S
•The explanation of some of the black box tools like PCA, Covariance, and Fourier Transformation is amazing and very clear and easy to understand.
By Paul B
•The PCA/FT/FFT material is awesome. The presentation is great. The assignments while not great, where a sufficient taste of watson studio.
By N.Srinivas
•Amazing course! I thoroughly enjoyed detailed explanation behind Naive Bayes and PCA. Digital signal processing is like the cheery on top!
By AKSHAY K C
•A really good course on advanced topics of machine learning and signal processing with an in-depth explanation of each topic very clearly.
By Alfredo P
•Excellent material and Instructors. It would be great f we could get the instructor's sample notebooks that they used in their lectures
By Daniel T
•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.
By Njoku, U F
•I loved that the mathematical concepts behind the various techniques like Bayes theorem or Fourier transforms were well explained.
By Robert F
•It's pretty advanced in content. Someone with a background in math would love it. I would like to learn Apache System ML coding!
By Edward J
•Thank you so much Romeo and Nikolay. Your explanations were so clear and I feel inspired - I could listen to you both all day!
By Farrukh N A
•Excellent! Advances course mathematical and statistical cover along with programming in python (Apache Spark and System ML)
By Kshitij T
•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.
By Jan B R
•It was a really nice course to learn the way to implement the most used ML algorithms with an easily scalable method
By Eleni K
•Quite different from the previous course! Much better, with more thorough explanations and hands on experience.
By Ilario M
•Very well structured, easy to follow/understand. This is a hot topic at the moment and helped me in my job.
By Ricardo S
•Gives an in-depth overview of the main approaches/methods in ML and Signal Processing. Very well designed.
By Gouri S C
•The course was nicely designed. Really enjoyed and learnt a lot. I especially thanks to the instructor.
By Axel A J A
•Excelente curso, e información muy concreta, aunque los ejercicios de programación se me dificultaron
By Jorge A V
•Interesting that they add signal processiong and IoT. Something usually overlooked in other courses
By Ganga V C
•Course is really helpful.. Concepts have been taught very clearly along with the coding..
By Sven
•Very good data science specialization covering many interesting advanced technologies!
By Jad w i
•this course is very beneficial and teaches you the proper way of machine learning!