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.
Mar 06, 2020
This is starting course for Machine Learning. Very well explained and after finishing this course, one will get interest in continuing and exploring further in Machine Learning field.
por Jamal A•
May 10, 2017
Great overview about the machine learning in general. There are still lots not covered specially the Neural Network algorithms. Learning Spark MLlib was great advantage of this course.
por Tariq A•
Dec 27, 2019
The fact that the assignments are graded means that there’s incentive to work on them, solve problems, and ask questions. Traditional online courses don’t offer that incentive.
Sep 07, 2017
Hands n exercises and corresponding quizzes are great !Content could be more detailed, but may be I felt it so given my past exposure to ML. I enjoyed learning Knime and Spark.
por SUNITHA N•
Dec 04, 2017
The precise definitions for many commonly used terms were very helpful. You do not find these details in many books or documents. Also, using KNIME was also interesting
por Thomas H•
Nov 27, 2016
Good overview of working with SPARK and KNIME - acceptable little theoretical background for all the presented concepts for the sake of application use.
por vishal c•
Sep 12, 2017
This is a good course to understand how we can apply basic ML algorithm like classification, clustering using KNIME and Spark ML on very high level.
por Gustavo I M•
Jul 03, 2019
Good, would be better if was in portuguese. and sometime is very painful configure the machine. But is a good course, better than the previus 3
por Miguel A R B•
Jan 12, 2020
There was a good explanation of concepts, but I think it was possible to include more themes or empathize more in other techniques.
por Matteo B•
Apr 05, 2018
This course gives a good overview of the main machine learning techniques to analyze data using either spark or a GUI tool (KNIME).
por Sun W•
Sep 24, 2019
Generally its good content. However the VM setup is still horrible. Many time wasted on debugging and set up environment.
por Jose R Z•
Sep 03, 2019
The concepts in the course are very good but very basics in machine learning, it's a good introduction to knime and spark
por Irfan S•
Nov 25, 2017
Good course for new comers. Regression and Clustering concepts were explained in very high level and need some in depth.
por Teresa S•
Jan 30, 2018
Very interesting course that will help us to understand how machine learning course works and also to analyze data.
por Silvia C R S•
Nov 18, 2017
Very practical and interesting course! Ideal for people who does not have previous knowledge in Machine Learning.
por Hugo d J M Y•
Feb 13, 2017
not enough work in the other machine learning models (the course centered the main part of it to classification )
Aug 27, 2018
I lack to have more examples of a complete solution, applying all the concepts in a generic problem.
por Dev A S•
Jan 20, 2020
The instructor is explaining well. But still in some weeks there is a gap between the Hands on and theories
por Jae Y S•
Oct 25, 2019
it was very useful for me to get knowledge about Machine Learning with somehow details and reminded me wh
por Federico S•
Mar 02, 2018
It fullfilled my expectations, and created the motivation to further increase my knowledge of ML
por NFOTABONG F Q•
Jun 14, 2017
Good course.It would be really completed if we go on in details of different analysis algorithms
por David P G•
Dec 06, 2019
The didactic qualities of the lecturer greatly compensate the lack of support and maintenance.
Oct 30, 2019
It was brief and comprehensive , Got to learn various technologies like Knime and Spark
por Ripunjay K•
Jan 24, 2020
Needed more clear instructions in each module else a very good course to understand ML
por Gabriel T•
Feb 03, 2018
The course was great. Lost of great content, pedagogically sound! I leaned a whole lot
por Kairsten F•
Dec 06, 2016
This was a good introductory class to machine learning, but I wish it had more depth.