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 Thiago d S B•
Some videos with low quality so it was hard to read the code and lack of pratical exercicies
by Ayushman S•
The course might need some updating, it does give a lot of information about many things.
by Venkaatesh D•
Not too sure about the application of digital signal processing in real world problems
by Riku S•
A tad too much IoT for my professional interests (was part of larger "Specialization")
Some explanations were good but that was not enough for covering machine learning
by Mark B•
Hard to follow at times... found a lot of assistance in discussion forum
by Prashant B•
The spark usage is very limited. Assignments could be more challenging.
by Nicolas M•
It should be useful to introduce more practical exercises
by Markus W•
well explained, programming assignments are worthless.
by Santiago M L•
It's a little bit comlicated develop the activitites
by Rama K R 1•
assignments should be more challenging
by Mattia S•
I honestly expected so much better from IBM.
The idea of the course is great, it covers interesting topics about distributed machine learning, how to perform it with huge amount of data and how to solve scalability problems.
The idea is great, but it's really poorly executed. The course lacks of a real structure, connection between lessons and real explanations. The only lesson well structured and well organized are the ones held by Prof. Nicolay Manchev, they're clear, well structured and splitted into theory + practice.
The lesson about SystemMl are held by another professor (not mentioned in the instructor list) and they're almost impossible to understand, and i'm not talking about the content itself (which is still pretty poorly explained) but the pronunciation, it's really really hard to understand what he's saying.
Another real problem about this course is that seems more "marketing" focused that "learning" focused. Having followed also the previous course of the specialization, you can clearly tell that some explanation are more marketing than a real explanation. I understand the point of view of IBM, it's a company, they're interested in making money and marketing, and there's nothing wrong with it. But if a student finds himself annoyed because of this, it starts to be a problem. I don't care about your amazing offers ecc... i want to learn how to use and when to use those tool. Eventually i'll start using on my own your platform, i don't need constant remainders about how beautiful it is.
Last thing last, right now seems that IBM decided to completely remove the free basic plan on their platform (happened just today, and i had some problems finishing my last programming assignment). Doing so, they literally removed the possibility to test and learn on their platform, since you're limited by the monthly credits they give you.
This is pretty funny because the goal of the course (beside teching to students) is to promote IBM and their platform, and after this course and the removal of the free envirorment from Watson studio, i completely moved to Google and Kaggle, pretty ironic.
by Xavier U•
I was initially excited about pyspark and SystemML but It's a very gentle introduction.
The assignements were way too simple machine learning wise. On one of them you just had to call the classifier. One word + (). Really?!
On the positive side, PCA, FFT and Wavelets were very well explained.
by Dmitry S•
Quite an unbalanced course. Some material is very primitive, other is quite complex compared to the rest. Lab assignments could have been more elaborate. Even though I learned quite a bit, my expectations were higher for an advanced course offered by IBM
by Jukka A•
Course was hard to complete due to the version problems. Instructors should update material so that the course can be done with newest versions of programs.
by Andrea P•
I haven't got any time for doing the course, as I joined the course 1 week ago.
by Hossein A•
good materials with not very good instructors and very easy assignments
by Haroldo V•
No aporta mucho para una persona que ya está en el mundo de DS y ML
by Arman I•
I seriously doubt if it was "Advanced ML and Signal Processing."
by Serdar M•
second star is just because I was able to finish the course
by Sergei B•
easy course. shouldn't be in advanced ml specialisation.
by Tushant T•
by Felipe M M•
Videos are old. It feels like he had a bunch of material and put them together to create this course. For example: There are assignments that they give you the answer because the questions are not supposed to be there. He doesnt teach, instead, he reads a script. The assignments are not challenging and you dont feel like you learned. Horrible and painful.
by Harsh V S•
Content is so incoherent and disconnected - in one video, you start covering the very basics of linear regression and then in the very next video, you go straight into coding a linear regression ml pipeline. The videos pertaining to SystemML are virtually impossible to follow!
by Goce Z•
not enough labs. just watching the instructors type