Apr 29, 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.
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.
by Jeramie G•
Sep 04, 2019
The information and examples presented in this course are helpful and pretty easy to follow. My only complaint is - and this is true for a lot of these online courses - the programming assignments are way too easy.
I know this isn't a full-blown college level curriculum. I feel like I retain the material better when the assignments are more challenging.
by Roger S P M•
Jan 30, 2019
This is the second in the Advanced certificate series. By this time you are starting to understand their teaching method. So it is a better experience than the first one. Also you are getting more experience with the studio, cloudant, and Node-RED - which is very helpful and rewarding.
by Björn ' H•
Sep 19, 2019
The assignments are too easy, the level of coding required is not very challenging, it's just a fill-in-the blanks exercise, I don't know if I could actually do any of these things on my own with a new data set.
by Greg R•
May 12, 2020
Overall very useful material covered however I was disappointed that some key concepts such as Baynesian inference and PCA were not well explained. I supplemented most of that material from Youtube.
by Mario E R T•
Aug 09, 2019
The learner needs to do more by his own. I think the course should follow up on the teaching style from the IBM specialization of Data Science. The teachers are good at replies.
by BORVORNTAT N•
Jul 08, 2020
Assignments are too easy, and not cover every lecture that I have learned for advanced ML, also some of the lectures are quite short.
by Anastasiia S•
Sep 15, 2019
Not enough programming assignments and the ones in this course are too easy for the "advanced" course
by Salvatore S•
Jan 12, 2020
The assignments are way too easy. Not very challenging for a course with 'advanced' in its title.
by Thiago d S B•
Jul 07, 2020
Some videos with low quality so it was hard to read the code and lack of pratical exercicies
by Ayushman S•
Jul 18, 2020
The course might need some updating, it does give a lot of information about many things.
by Riku S•
Feb 07, 2019
A tad too much IoT for my professional interests (was part of larger "Specialization")
Jun 08, 2020
Some explanations were good but that was not enough for covering machine learning
by Mark B•
Apr 17, 2020
Hard to follow at times... found a lot of assistance in discussion forum
by Prashant B•
Aug 29, 2019
The spark usage is very limited. Assignments could be more challenging.
by Nicolas M•
Apr 18, 2020
It should be useful to introduce more practical exercises
by Markus W•
Sep 24, 2019
well explained, programming assignments are worthless.
by Santiago M L•
Jun 28, 2020
It's a little bit comlicated develop the activitites
by Onteddu R K R•
May 03, 2020
assignments should be more challenging
by Mattia S•
May 22, 2020
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•
May 04, 2020
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•
Mar 10, 2020
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•
Feb 16, 2019
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•
May 17, 2020
I haven't got any time for doing the course, as I joined the course 1 week ago.
by Hossein A•
Jun 23, 2020
good materials with not very good instructors and very easy assignments
by Serdar M•
Mar 22, 2019
second star is just because I was able to finish the course