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 Marvin L•
it was educational
by Mukul K M•
by Madan T•
by Saman S•
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by Yuliia H•
by Alexander L•
Very cool job!
by CARLOS S•
by Suhas J•
by Warren P•
by Hadhrami A G•
by JAYDIPKUMAR U•
by Jeff D•
by Jérémie B•
by Bikash R•
by Ankit M•
by Nyam-Ochir B•
by Avijit P•
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•
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•
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•
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.
by Taresh B•
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•
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•
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 Florian B•
Of course, the course requires that you are somewhat familiar with mathematical aspects of higher analysis!
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.