Some parts of the course are quite interesting, in concrete, the introduction to the Knime tool (so useful and open source tool which I will try to take a deep look on it as the course only provide a slightly overview). Otherwise, i think that the content is not enough, i don´t feel that I have fully understand the core of Machine Learning and its difference with other BD applications.

Un curso introductorio a las técnicas de machine learning. Los ejercicios en Knime permiten entender el paso a paso de un proyecto de ML, mientras que los ejercicios en Python son prácticamente replicar el código ofrecido y no agrega valor a menos que conozcas muy bien este lenguaje de programación

I liked the theory parts, but had a to of problems with the hands on exercises: I spent a tremendous amount of time on installing/trying to install the necessary software. And not everything worked properly on my Mac Laptop.

I like this course, but is very old and doesn't have methods for programming like python or other. Please check the content and upgrade the software, for me, it doesn't work Cloudera VM and is very sad. More Quality.

A bird's-eye-overview introduction of the field. It teaches you some terms and it gives you ideas about which fields might be interesting for you if you want to really learn how to do machine learning with big data.

The course start excellent talking about categorical predictions but I would like see a similar explanation for regression or numeric predictions. However, the course offer an excellent quality.

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 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Outdated.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.

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