學生對 IBM 提供的 Scalable Machine Learning on Big Data using Apache Spark 的評價和反饋

more hands-on would be nice, rather than having so much of the code pre-written

Compared to other courses in AI Engineering, this one was a bit too technical

Content was ok. Not many insights why Apache is better/faster than others.

Not Clearly Understandable. Lack of Deep Knowledge provided on the course

Very high level, exercises could have been more challenging and hands-on

Me parecio incompleto el curso. Algunos temas debieron extenderse mas.

Concepts not explained well, have to watch videos twice to understand.

I would add more practise exercises as well as the intended answers

Videos are outdated which makes it hard to follow along sometimes.

The contents are not well-organized and sometimes confusing.

The course is outdated. exemples in old version of spark

Good content but explanations are not always very clear

Video is too blurry and so is the content of course.

Multiple errors in the instructional videos.

His accent is very difficult to understand.

course video's need a complete revision

The content is not detailed enough

Instructor accent is strong

Mejorable Course Materials

Pls improve sound quality

Difficult to follow

Too Easy...

I felt this course was a bit too light. Romeo does reference some other more advanced courses which I will definitely check out. I did not feel like I learned much in this course for two reasons: 1. the lectures were kept pretty high-level and 2. the exercises and final quiz required almost no work or thought to complete. I learn best by doing; so for the final quiz I would have preferred if instead of being given all the code we were given the (cleaned) data set and then asked all the relevant questions without having all the code prepared for us. It forces us to figure out how to implement what we've learned and search the Apache Spark API. That being said, I did like Romeo's teaching style so I'll check out more of his courses.

The course is quite easy to understand. However, the presentation of the videos are not good. There are a lot of mistakes in the demo videos and is just addressed by adding some sudden pop-up bubble comments in the video without getting any explanation. There are also outdated codes that doesn't immediately work when you try doing it yourself. The video resolution of the demos in the notebooks are also very low. I tried increasing the resolution of my video but the notebook is still very difficult to read.

The first week is okay; a good introduction to how Apache Spark works to parallelise computations. However, from then on code is poorly explained, and videos need updating to reflect current Python syntax. The fact that there are alot of pointers to external github repos with 'correct' code makes it difficult to learn. This course is not to the standard of others in this IBM AI Engineer path. The last week only ends with a 'fill-in-the-answers' quiz from a prewrote notebook.