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.

Good material. Hard to understand the instructors' English. Not professionally presented. Assignments are too easy, and we didn't get good, meaningful practice. Quizzes often address information that either the instructor failed to present well, if at all, or made mistakes on.

It is supposed to be an advanced course but there is almost no advanced topic in this course and it is just a shallow overview of machine learning with the Pyspark. SystemML explanation was very vague and incomplete.

The topic is very interesting but the material is unbalanced; week 2 on supervised machine learning covers too much information in a very limited amount of time compared to week 3 on unsupervised machine learning.

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.

Excellent brief math lectures by Manchev. The course materials do MOST of the programming for you and so you only get a light exposure to the Apache Spark API -- insufficient to develop real proficiency.

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.

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.

Assignments are too easy, and not cover every lecture that I have learned for advanced ML, also some of the lectures are quite short.

T​he resources required for this course are not free therefore, not accessible for everyone who is willing to complete this course.

The weekly assignments are quite bad, and the course name ,advanced ML and signal processing, is misleading

Not enough programming assignments and the ones in this course are too easy for the "advanced" course

The assignments are way too easy. Not very challenging for a course with 'advanced' in its title.

Some videos with low quality so it was hard to read the code and lack of pratical exercicies

The course might need some updating, it does give a lot of information about many things.

Not too sure about the application of digital signal processing in real world problems

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

Hard to follow at times... found a lot of assistance in discussion forum

The spark usage is very limited. Assignments could be more challenging.

It should be useful to introduce more practical exercises

well explained, programming assignments are worthless.

It's a little bit comlicated develop the activitites

Could be more clear with the instructions.

assignments should be more challenging