Oct 25, 2020
Excellent course. It teaches the basics with a great method and with practical exercises, involving real data. The sctructure is clear and it covers a good amount of topics. Well done San Diego!
Jul 19, 2018
Excellent course, I learned a lot about machine learning with big data, but most importantly I feel ready to take it into more complex level although I realized there is lots to learn.
By Sebastián C L•
Jul 12, 2020
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
By Beate S•
Nov 16, 2017
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.
By Javier P C•
Feb 19, 2020
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.
By Joren Z•
Aug 28, 2017
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.
By Victor J O•
May 10, 2020
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.
By Santiago C F•
Oct 05, 2020
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.
By Anil B•
Jan 21, 2019
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.
By Mohan R S•
May 30, 2020
The descriptive topics were The Handson exercise could be more elaborative. Many of the commands are just written but not explained.
By Alberto T•
Jun 14, 2017
many basic of machine learning but not so specific to big data, only hands-on with pyspark is big-data related
By HILLEL D•
Jun 21, 2020
Topics covered are good.
Hands-on needs to be updated. Exisitng set of 5th week contains error
By JAIDER M F T•
May 13, 2020
El curso es introductorio no ahonda en los temas, me hubiese gustado que hubiese mostrado mas temas.
By Miguel T•
Aug 17, 2018
I miss some technical information about machine learning techniques such as neural networks.
By Luis A A C•
May 15, 2020
Very basic in terms of statistical techniques but liked the use of big data tools
By Akash R•
Jun 06, 2020
this is more about ml classes, very less practical, only theoretical........
By Juan S H C•
May 03, 2020
The Cloudera must to be checked. Too many errors in the Hands-On exercices
By PRERNA S•
Mar 15, 2018
It was a basic course for initial understanding about Machine learning.
By Giorgi B•
Sep 13, 2020
Very basic, and if you know machine learning only good for using knime
By Francisco J H A•
Dec 24, 2019
The last week in my point of view is not linked to machine learning.
By Atharva J•
Sep 21, 2020
Low volume for lecture videos, System setup is long and tedious .
By Carlos A A C•
Apr 25, 2020
We dont see how to use things like hadoop map reduce or clustering
By Rahul P•
Aug 02, 2019
The Hands-On exercises were good. The theory part was too shallow.
By Kartik K•
Nov 23, 2018
The course should cover more topics about Machine Learning.
By Ivan S•
Mar 01, 2017
Very basic things... Any examples for regression.
By J. A H P•
Dec 29, 2016
It's ok for an extremely high-level overiew
By Palash V S•
Jan 27, 2018
Not hard, a very beginner-level course.