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

i like very much the Machine Learning, but the course was focusing to cover the whole functions,methods,logarithms...

but i was preferred to focus on few concepts and do more practicing on to understand more the course and to make it more beneficial in our job carrier.

The course material seems to be copy and pasted together from other courses and the versions/classes/functions of the software have changed compared to videos and assignments. Nevertheless I got a first impression on how to work with Apache Spark/pyspark hands on.

I think this is a fine introduction to Apache Spark, but the notebooks don't really require much thought to complete. It'd be nice if they were a bit more instructive. And I'm not a big fan of lecture videos just showing the instructor type the code.

The course material was clear but we are never really given any challenging practice exercises to do. The "project" at the end was litterely just running prewritten code - it would have been better if we got to write the code on our own.

It seems that the course is not updated for some time.

What is described in the videos not always applies to the exercises.

Some mistakes are corrected with labels on the video.

In general the quality of the materials is not great.

Its a good course but it duplicated content from the previous course in this specialized certification. Also speed for writing code is too fast in video. But some APIs and exercises are really good.

Overly, It is a well structured and oriented course, especially the practice part. However, the lectures could have been improved and made clearer. Thank you for all your efforts.

The objectives on each class were not clearly defined, and the videos have a lot of errors that are partially corrected but will be good if the content of the course is reviewed.

Lectures video and practice seems not consistent. Some of the contents in the video needs to be updated, since the interface has changed in IBM studio.

Tutor was definitely knowledgeable, but i felt the course was more like a code review and more emphasis should be given to teaching/explaining.

The course teaches the very basics in a pretty simplistic manner. I think both videos and labs could be more descriptive and illustrative.

Very precise examples of parallel process to make predictions but may be not as demanding as other courses. The exercises where too easy.

Good introduction to Spark, but very little playing around with ML.

Also, the UI for IBM Watson keeps changing and is really frustrating.

This course is outdated, and there are a lot of errors in the presentation.

I think most of the videos in the course need to be updated.

Quite difficult to understand, since the videos have plenty of errors and the tutor goes really fast with no explanations some times.

Not enough coding opportunities provided. More Coding assignments and practice will be better and more content is very much needed.

Course needs some polishing. Video content seems to be outdated and not delivered in a format consistent with other IBM courses.

Content was ok , IBM has better course production than this , sorry to say , i m very grateful for the effort

tutor took . Thanks

This deeply need a much more detailed course on Apache Spark. You need far more than this course to actually get into PySpark.

Good introduction but seemed rushed and felt like it had lot of gaps . But the explanations that were given were very nice

Hard to listen video without subtitles.

It be better to show how create a notebook in the watson on the first lecture.

It would be nice to have an updated course content video. Other IBM courses are much more updated and interesting.

Very hard to understand the instructor. The speech intonation needs to be improved as a first step.

The english accent of Mr Romeo Kienzler is sometimes difficult to understand but knows the program

There was not enough learning about how to use ApacheSpark, it was more of a show what it can do.