JG
Oct 24, 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!
PT
Jan 8, 2017
The course was the best introduction I had for machine learning. Helped me a lot to understand different concepts from people who already know about the subject and I didn't have any idea.
By Kartik K
•Nov 23, 2018
The course should cover more topics about Machine Learning.
By Ivan S
•Mar 1, 2017
Very basic things... Any examples for regression.
By Andrew H
•Dec 29, 2016
It's ok for an extremely high-level overiew
By Palash S
•Jan 26, 2018
Not hard, a very beginner-level course.
By Artur L
•Oct 27, 2017
Nice knowledge refresher
By shraddha s
•Aug 25, 2020
nice course
By Tobias O F
•Jul 31, 2017
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.
By Csaba O
•Oct 4, 2017
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.
By Bani C N
•Jun 12, 2020
The course was thrilling with a lot of hands-on activities..but the downside was that there were errors especially in the second and last hands-on and those bugs are so annoying giving the fact that some of us are still new in the big data world and have no clue to solving such problems
By Anirudha A M
•Aug 20, 2020
It should have been made clear that good experience in Spark is required for this course. I struggled with most of the commands and had to watch, re-watch most Spark related videos, google meanings of commands etc. The course experience was not very pleasant. Nevertheless, thank you.
By E P
•Oct 17, 2017
The virtual machine in this course no longer is functioning. PySpark update seems to not play nice. I think the content also needs some updating for more modern machine learning techniques.. like using big data with deep learning systems like tensor flow or PyTorch.
By Manfred K
•Jul 14, 2017
I expected course with more in-depth and more difficult examples, I learned about a few new concepts, most methods were repetitions for me.
By Alfonso A G
•Dec 3, 2016
Machine learning is too simplified and spark part is not even explained, also very little relation of all course with Big Data.
By LEONARDO R
•Jun 9, 2020
Considero que está algo desactualizado el curso y las herramientas de aprendizaje. Tenía mayor expectativa
By Michal Š
•Nov 18, 2016
Almost a useless course - ML overview using KNIME which gives no insight whatsoever.
By Ruijia W
•Nov 25, 2017
Too basic
By Beatrice C
•Dec 14, 2016
The course content is very poorly explained. The quiz questions don't really test what was taught in the lectures, and the assignments are just copying and pasting things. I feel like I still have a very poor understanding of what was supposedly covered in the course. I cannot generalise or apply the 'learned' information or skills to other topics or researches because I didn't actually understand the core concepts or how to use the programs.
By William R
•Nov 19, 2016
This is another course in UCSD's "Big Data" introductory course. The material is not pertinent to a specialty on big data technologies. Further the course does not increase one's knowledge of Machine Learning in any way that justifies spending the time in the course.
By Tim C
•Sep 3, 2021
The VM software provided is now out of date. The use of a clunky GUI-based tool (KNIME) seems like a waste of time--not likely to be useful in real applications.
By Kamalesh P
•Oct 23, 2019
Regression is least bothered, less hands on
By Martin D
•Oct 16, 2020
cloudera vm doesnt work well