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 Joseph B J•
The course was very intuitive. I have given 1 star less due to the 4th week's assignment. I feel it would have been more useful if there was an assignment where we could use SparkML instead of SystemML as it is not taught well enough in this course.
by Joe-Kai T•
Good Course. I certainly learned quite a bit. It gives a good overview about the concepts and tools of machine learning and signal processing. The programming asignments were perhaps a bit too easy for an advanced-level course.
by Albert S•
Assignments were a bit too easy. I didn't really have to understand 90% of the lectures to complete the assignment. Most changes were related to spark.sql knowledge and how to instantiate classifiers and such.
by David A•
Overall good course; very interesting concepts given in the lectures. I only wish the programming assignments were a little more interactive and deeper than "fill in the blank." Great stuff though thank you!
by Amy P•
Very interesting concepts and more math than other courses, which was nice. The audio quality of guest lecturers needs to be improved, but I appreciated the video content and hands-on examples.
by yash k•
Amazing course with real life usecase. A bit more explaination would have helped as most of the content is based on the fact that the viewers are familiar with SparkML/ SystemML
by Jennifer K•
This class taught some Spark data pipeline basics using signal data as examples. The lectures on Fourier and Wavelet Transform were very thorough. Appropriate for beginners.
by VISMIT C•
Really good if you know a bit about Machine learning, it's not important to know this in DML, could focus on this in python with scikit but still thoery is very useful
by Lawrence K•
Definitely worth the time, with good practical examples and a ton of maths behind Fourier Transform analysis and applying machine learning pipelines to Apache Spark.
by VIGNESH K K•
romeo class was too good , his information are too short and catchy , i like this course due to him , i am eager for any other course which he would teach
by Zexi J Z•
fairly good. not perfectly organized but a little bit relax. good pace for workshop style training for some parts and enough details for some other parts.
by Eugene N•
This was a good course but I don't know how signal processing will be useful for some people who aren't in the field of physics (signal processing)
by Harsh J•
This course help me learn many new concepts but I would suggest some coding exercises in the course would much better for the better learning.
by Michael B•
Great course overall! Personally, however, I didn't think the digital signal processing portion was as useful as the first three weeks.
by MEZOUAR b n e•
it was very interesting to attend this course ,it had both theory and practice parts and all what you need to use in the future
by Ceren A•
Great classes from Nikolai but not so much from Romeo! Huge difference in levels, presentation, learnings between the 2.
by Petch C•
Content of the course is good and easy to understand but I would be better to add more activity to the assignment.
by Anh-Quang N•
It is an OK course to learn the basics of ML in and how to use the IBM infrastructure with SparkML for ML
The theory is good but the excercies could be more complete and big to cover all the points in the theory
by Sauraj C•
4 Star because course is not based on project it's good to learn the theory project is important
by Fasakin O A•
The course contents are great but there is no much practical details about fourier transform.
by Srivatsan R•
Great Online Course. Videos involving IBM Watson studio can be explained in a better way.
by Ho Y C•
This course covers many traditional approaches to machine learning and signal processing.
A very intuitive way of learning and great to see a mixture of ML and Signal Processing
by Sameera P•
I like what's taught in the course but the questions assignments are too simple.