캘리포니아 샌디에고 대학교의 Machine Learning With Big Data 학습자 리뷰 및 피드백

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

nice course

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.

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.

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

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.

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.

I expected course with more in-depth and more difficult examples, I learned about a few new concepts, most methods were repetitions for me.

Machine learning is too simplified and spark part is not even explained, also very little relation of all course with Big Data.

Considero que está algo desactualizado el curso y las herramientas de aprendizaje. Tenía mayor expectativa

Almost a useless course - ML overview using KNIME which gives no insight whatsoever.

the course is good but the software is outdated and not maintained. avoid

Too basic

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.

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.

Regression is least bothered, less hands on

cloudera vm doesnt work well