24. Okt. 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!
18. Juli 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.
von Carlos A•
3. Feb. 2021
The course is excellent, the hands on allow are realistic and allow you to have contact with the analysis tools and real Big Data applications. I am very happy and satisfied with the course.
von Jürgen B•
31. Okt. 2018
Reasonable overview. The VM environment is a major challenge for my hardware. Takes more time to make it work than it should. I am wondering if a cloud solution e.g. GCP would be better.
von Jamal A•
10. Mai 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.
von Tariq A•
27. Dez. 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.
7. Sep. 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.
von SUNITHA M•
4. Dez. 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
von Santiago Z•
23. Aug. 2020
Good course, but I found several problems in the virtual machine and it was difficult to solve them with the forum info. I had to rebuild the vm several times.
von Thomas H•
27. Nov. 2016
Good overview of working with SPARK and KNIME - acceptable little theoretical background for all the presented concepts for the sake of application use.
von vishal c•
12. Sep. 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.
von Gustavo I M•
3. Juli 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
12. Nov. 2020
In my opinion this is one of the best courses in Big Data specialization. I hghly recommend it, because of the theory AND practical tasks.
von Ofer K•
5. Okt. 2020
I was expecting a deeper coverage of the ML algorithm, however the course was fun and it was useful for me to get acquainted with KNIME
von Miguel A R B•
12. Jan. 2020
There was a good explanation of concepts, but I think it was possible to include more themes or empathize more in other techniques.
von Matteo B•
5. Apr. 2018
This course gives a good overview of the main machine learning techniques to analyze data using either spark or a GUI tool (KNIME).
von Andres V N•
8. Juni 2020
great course, felt it was a bit basic for some stuff, would've liked more hands on.
Liked working with 2 tools, KNIME and Pyspark
von Sun W•
24. Sep. 2019
Generally its good content. However the VM setup is still horrible. Many time wasted on debugging and set up environment.
von Jose R Z•
3. Sep. 2019
The concepts in the course are very good but very basics in machine learning, it's a good introduction to knime and spark
von Irfan S•
25. Nov. 2017
Good course for new comers. Regression and Clustering concepts were explained in very high level and need some in depth.
von Teresa S•
30. Jan. 2018
Very interesting course that will help us to understand how machine learning course works and also to analyze data.
von Stefan V•
19. Aug. 2020
Spark was too much for my machine to handle, but working with Knime was a nice visual and guided experience to ML.
von Silvia C R S•
18. Nov. 2017
Very practical and interesting course! Ideal for people who does not have previous knowledge in Machine Learning.
von Hugo d J M Y•
12. Feb. 2017
not enough work in the other machine learning models (the course centered the main part of it to classification )
26. Aug. 2018
I lack to have more examples of a complete solution, applying all the concepts in a generic problem.
von Dev A S•
19. Jan. 2020
The instructor is explaining well. But still in some weeks there is a gap between the Hands on and theories
von Jae Y S•
25. Okt. 2019
it was very useful for me to get knowledge about Machine Learning with somehow details and reminded me wh