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 engin C
•Aug 22, 2018
Well structured course.
By mahmut k
•Jul 4, 2018
Great course from IBM!
By Stanislaw K
•Jun 26, 2018
Outstanding lectors!
By Soumyajit D
•Oct 1, 2020
Very good , awesome
By Marvin L
•Apr 10, 2020
it was educational
By Mukul K M
•Jun 13, 2020
excellent course
By Madan T
•Dec 10, 2019
Excellent course
By Saman S
•Oct 26, 2019
that's wonderful
By RK
•Oct 18, 2019
very informative
By Yuliia H
•Jun 18, 2021
Great course!
By Alexander L
•May 8, 2021
Very cool job!
By CARLOS S
•Dec 25, 2019
Great course!
By Suhas J
•Sep 20, 2020
great course
By Warren P
•May 9, 2020
Great class!
By Hadhrami A G
•May 6, 2020
Very Good
By JAYDIPKUMAR U
•Jun 22, 2020
too good
By Jeff D
•Jan 24, 2021
Thanks
By Jérémie B
•Feb 3, 2020
Good.
By Blake R
•Nov 21, 2019
Great
By Ankit M
•Dec 16, 2019
Good
By Nyam-Ochir B (
•Nov 5, 2019
nice
By Avijit P
•Jul 8, 2020
The difficulty level of the course is as it states, intermediate.
Both the instructors are quite good at explaining things and also provide a little insight as to why they're choosing to do something at any given moment.
There is this one lecture though from a guest faculty that just plain reads out what's written in the presentation slides.
Although they try to explain every short thing, it might go over one's head or require repetition if the reader is 2 or 3 viewings with the mathematical concepts behind the algorithms previously. But the course still felt pretty self-contained to me,
Still, it's an overall balanced course that can't be completed unless one understands what the code is doing. Great for getting insights on and developing data science intuition.
By Humberto D
•Jun 21, 2021
The instructors of this course are very good about explaining the intuition and the code. However, I must admit that the treatment of the mathematical content was superficial; there was not enough time devoted to mathematical formulations of the problems and their solutions. In fact, it is such that one should already be familiar with the mathematics of data science in order to understand what goes on under the hood during the coding implementations. Otherwise, one does not get a sense for why the techniques that are used work the way they do.
By Scott B
•May 4, 2020
The information in the videos is excellent. I am actually very please by how succinct and clear the topics had been covered. My reason for giving 4 stars is because the programming assignments do not really help crystallize the new material. They may include a fraction of the concepts that are covered. It would be nice if the assignments involve stuff like the inclusion of param grids, comparing different ML algorithms, implementing PCA, etc. Also would be nice if there had been a review of the Fourier Transform material using SparkML.
By Alexander B
•Nov 7, 2019
Overall a decent course. The lecturers could go into more depth with some of the topics they covered to allow the learners to really grasp the concepts. I felt all of the assignments were too simple, possibly allowing you to pass even if you don't completely understand the material. More depth in the lectures and challenging assignments would leave me completely satisfied.