MM
Apr 28, 2020
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.
MA
Sep 7, 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.
By Taresh B
•Jul 5, 2020
I like the course but I feel that it really needs more depth. It feels like most topics have been just skimmed through and not explained very well. The IBM tag is something that attracts you but if you wanna delve into the details, this course will tell you what to learn, and then you'll have to go on youtube and look for resources.
By Rishiraj A
•Jul 8, 2020
I liked the course.
I like Week 4 of Advanced ML course. It is very fulfilling.
But, I think the portion of large data handling using parquet and spark is still missing in both the course (Scalable DS and Advance ML). There should be a session where is taught how to create parquet files and how to store them in object storage.
By Euripedes B d C N
•May 19, 2019
O Curso é ótimo e apresenta muitos conceitos de Machine Learning e Processamento de sinais, mas faço uma ressalva, pois como o próprio nome diz é Avançado e o candidato precisa ter uma boa base de programação, particularmente precisei pesquisar bastante sobre Apache Spark e Systemml pois minha formação não é de TI.
By Adrienn K
•Aug 11, 2022
Intermediate rather than advanced (hence 4 stars because I find the title misleading). Good course though; interesting and applicable teachings. Perfect pace and clear instructors. Assignements could have abeen a bit more difficult. The required time to complete is much less than adverstised though.
By Florian B
•Jun 26, 2020
Of course, the course requires that you are somewhat familiar with mathematical aspects of higher analysis!
But...
It shows you the application of this knowledge to real world cases (especially week 4). I found the programming tasks and cases ideal for viewing the different methods.
By Joseph B J
•May 17, 2020
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
•Apr 5, 2021
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
•Jan 16, 2020
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
•Feb 17, 2020
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
•Sep 7, 2019
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
•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
By Jennifer K
•Mar 23, 2021
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
•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
By Lawrence K
•Apr 1, 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.
By 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
By Jesse Z
•Jan 1, 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.
By 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)
By 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.
By M B
•Jul 29, 2019
Great course overall! Personally, however, I didn't think the digital signal processing portion was as useful as the first three weeks.
By Bouchra B
•Jun 4, 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
By Ceren A
•Apr 11, 2020
Great classes from Nikolai but not so much from Romeo! Huge difference in levels, presentation, learnings between the 2.
By 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.
By Anh-Quang N
•Jun 7, 2020
It is an OK course to learn the basics of ML in and how to use the IBM infrastructure with SparkML for ML
By 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
By Zaire A
•Nov 24, 2021
Great Course but the title should be changed. Signal Processing is only focused on in the final week