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.
Jan 01, 2019
Such great material. I really loved working out the notebooks. I have to go back and redo the IoT starter exercise to get better accuracy, but this was awesome!
by Daniel T•
Apr 29, 2019
This was a nice review of my undergraduate work at Northwestern, except that we didn't have Spark back in the day. Very cool course.
by Michael S•
Jul 19, 2019
thanks a lot to my motivated, sympathic and well prepared teachers
by Varadharajan R•
Jul 22, 2019
I enjoyed this course thoroughly
by Oghenekaro J O•
Aug 07, 2019
Great Course. You'll learn a lot about the mathematics of some key algorithms.
by FREDDY Y•
May 31, 2019
best course to gross, even for beginer
by Drazdovich M•
May 19, 2019
Blew my mind...partly )))
by Ted H•
Aug 21, 2019
The Signal Processing was eye-opening as a way to extract data from sampled data.
by Sukh S S•
Aug 22, 2019
The explanation of some of the black box tools like PCA, Covariance, and Fourier Transformation is amazing and very clear and easy to understand.
by Julien P•
Sep 13, 2019
Very happy about the content and the emphasis on applications!
by John M•
Jan 14, 2019
Great course overall. A few small wrinkles that need fixing.
by 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.
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 Sameera P•
Sep 16, 2018
I like what's taught in the course but the questions assignments are too simple.
by Chan H Y•
Oct 03, 2018
This course covers many traditional approaches to machine learning and signal processing.
by Aditya S K•
Jun 27, 2019
by 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.
by Euripedes B d C N•
May 20, 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 Srivatsan R•
Sep 01, 2019
Great Online Course. Videos involving IBM Watson studio can be explained in a better way.
by Amy P•
Sep 07, 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 Riku S•
Feb 07, 2019
A tad too much IoT for my professional interests (was part of larger "Specialization")
by Roger S•
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 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 Prashant B•
Aug 29, 2019
The spark usage is very limited. Assignments could be more challenging.
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 Anastasiia S•
Sep 15, 2019
Not enough programming assignments and the ones in this course are too easy for the "advanced" course