The course tries to cover too many areas of Machine Learning, which ends up reducing the amount of time per topic, as well as the information you'll get to see.

It would have been better if more case studies to work were given. I am surprised that there is no working case study given for regression analysis.

The course as such is not too bad ... BUT it's nearly impossible to do the hands-on exercises as Cloudera doesn't support virtual machines anymore.

The descriptive topics were The Handson exercise could be more elaborative. Many of the commands are just written but not explained.

many basic of machine learning but not so specific to big data, only hands-on with pyspark is big-data related

Topics covered are good.

Outdated.

Hands-on needs to be updated. Exisitng set of 5th week contains error

El curso es introductorio no ahonda en los temas, me hubiese gustado que hubiese mostrado mas temas.

I miss some technical information about machine learning techniques such as neural networks.

Very basic in terms of statistical techniques but liked the use of big data tools

this is more about ml classes, very less practical, only theoretical........

The Cloudera must to be checked. Too many errors in the Hands-On exercices

It was a basic course for initial understanding about Machine learning.

Very basic, and if you know machine learning only good for using knime

The last week in my point of view is not linked to machine learning.

Low volume for lecture videos, System setup is long and tedious .

We dont see how to use things like hadoop map reduce or clustering

The Hands-On exercises were good. The theory part was too shallow.

The course should cover more topics about Machine Learning.

Very basic things... Any examples for regression.

It's ok for an extremely high-level overiew

Not hard, a very beginner-level course.

Nice knowledge refresher

nice course

The parts including KNIME was not interesting or educational, it was just an big grind. I feel once you are on a level to use KNIME you know that it is better (and easier) to use other frameworks where you have more control, therefor missing customers the program is meant for.

Additionally the last hands-on felt rushed and just copy-paste to some extent (to being able to complete the tasks), even for me having a lot of jupyter and machine learning background.

This course is more "the very basics of machine learning" illustrated with some examples. The lectures were clear and logical, but honestly, very basic. Unfortunately the big data handsons (the ones with pyspark) are not explained very thoroughly, often they just state that "do this or do that" instead of explaining what is going on. All in all, I have expected more big-data related topics and less introduction to machine learning.