Sep 08, 2018
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.
May 14, 2020
Good one! I liked the wavelet transform part. It was nice to visualize everything. However coding assignments are easy, almost all the codes are written, please insert some more coding part.
교육 기관: yash k•
Oct 21, 2019
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
교육 기관: VISMIT C•
May 11, 2020
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
교육 기관: Alaso L K•
Apr 01, 2020
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.
교육 기관: VIGNESH K K•
Jul 23, 2020
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
교육 기관: Zexi Z•
Jan 01, 2019
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.
교육 기관: Eugene N•
May 16, 2020
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)
교육 기관: harsh j•
May 28, 2020
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.
교육 기관: Michael B•
Jul 30, 2019
Great course overall! Personally, however, I didn't think the digital signal processing portion was as useful as the first three weeks.
교육 기관: MEZOUAR b n e•
Jun 04, 2020
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
교육 기관: Ceren A•
Apr 11, 2020
Great classes from Nikolai but not so much from Romeo! Huge difference in levels, presentation, learnings between the 2.
교육 기관: Petch C•
Dec 27, 2019
Content of the course is good and easy to understand but I would be better to add more activity to the assignment.
교육 기관: Anh-Quang N•
Jun 07, 2020
It is an OK course to learn the basics of ML in and how to use the IBM infrastructure with SparkML for ML
교육 기관: Andrés•
Feb 17, 2019
The theory is good but the excercies could be more complete and big to cover all the points in the theory
교육 기관: Sauraj C•
Nov 26, 2019
4 Star because course is not based on project it's good to learn the theory project is important
교육 기관: Fasakin O A•
May 20, 2020
The course contents are great but there is no much practical details about fourier transform.
교육 기관: Srivatsan R•
Sep 01, 2019
Great Online Course. Videos involving IBM Watson studio can be explained in a better way.
교육 기관: Chan H Y•
Oct 03, 2018
This course covers many traditional approaches to machine learning and signal processing.
교육 기관: Vignesh K•
Jun 27, 2020
A very intuitive way of learning and great to see a mixture of ML and Signal Processing
교육 기관: Sameera P•
Sep 16, 2018
I like what's taught in the course but the questions assignments are too simple.
교육 기관: Ahin B•
Jun 15, 2020
I have earned good knowledge on Machine learning along with python programming.
교육 기관: Kuldeep S S•
May 06, 2020
This Course is very good but programming explaination is not good.
교육 기관: John M•
Jan 14, 2019
Great course overall. A few small wrinkles that need fixing.
교육 기관: Pratyush A•
Oct 18, 2019
IBM Watson studio can be made more user friendly.
교육 기관: Swarupa D•
May 22, 2020
it's very helpful...Thank u Sir for guiding me
교육 기관: Krishna K N•
Apr 14, 2020
Programming exercises could be more difficult.