学生对 IBM 提供的 Scalable Machine Learning on Big Data using Apache Spark 的评价和反馈
课程概述
热门审阅
GG
May 19, 2020
Great tutorial overall.Room for improvement: Fix the differences int the definition of kurtosis and skew between vide, test, examples (preferable the scipy definition).
JS
Feb 25, 2020
After completing this course you will be able to use Apache Spark to build ML models (e.g., Linear Regression, Gaussian Mixture Model, etc.).
201 - Scalable Machine Learning on Big Data using Apache Spark 的 225 个评论(共 319 个)
创建者 Lior D
•Feb 24, 2021
Tutor was definitely knowledgeable, but i felt the course was more like a code review and more emphasis should be given to teaching/explaining.
创建者 Jesus C
•Jul 12, 2020
The course teaches the very basics in a pretty simplistic manner. I think both videos and labs could be more descriptive and illustrative.
创建者 César A C
•Apr 26, 2020
Very precise examples of parallel process to make predictions but may be not as demanding as other courses. The exercises where too easy.
创建者 Jasper v H
•Jul 24, 2020
Good introduction to Spark, but very little playing around with ML.
Also, the UI for IBM Watson keeps changing and is really frustrating.
创建者 Diego A D
•Jul 12, 2020
This course is outdated, and there are a lot of errors in the presentation.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.
创建者 Cristian M
•Nov 6, 2020
Quite difficult to understand, since the videos have plenty of errors and the tutor goes really fast with no explanations some times.
创建者 krishna k
•Jun 3, 2021
Great course material, but the videos seemed to be confusing and counter productive. The videos are also old and need to be updated.
创建者 Shivam S
•Nov 22, 2020
Not enough coding opportunities provided. More Coding assignments and practice will be better and more content is very much needed.
创建者 Sanders L
•Nov 19, 2020
Course needs some polishing. Video content seems to be outdated and not delivered in a format consistent with other IBM courses.
创建者 Ratnakar M
•Jan 16, 2020
Content was ok , IBM has better course production than this , sorry to say , i m very grateful for the effort
tutor took . Thanks
创建者 TJ G
•Jan 11, 2020
This deeply need a much more detailed course on Apache Spark. You need far more than this course to actually get into PySpark.
创建者 Binod M
•Aug 10, 2020
Good introduction but seemed rushed and felt like it had lot of gaps . But the explanations that were given were very nice
创建者 Aleksei K
•Jan 22, 2020
Hard to listen video without subtitles.
It be better to show how create a notebook in the watson on the first lecture.
创建者 ARSHAD S A
•Jun 27, 2020
It would be nice to have an updated course content video. Other IBM courses are much more updated and interesting.
创建者 Vincent H
•Mar 5, 2021
Very hard to understand the instructor. The speech intonation needs to be improved as a first step.
创建者 Gustavo E Z
•Oct 25, 2020
The english accent of Mr Romeo Kienzler is sometimes difficult to understand but knows the program
创建者 Michael E
•Feb 3, 2020
There was not enough learning about how to use ApacheSpark, it was more of a show what it can do.
创建者 S M A J
•May 23, 2020
I think representation should be better and provided coding notebook should be self explanatory.
创建者 Regi M
•Jun 15, 2020
The instructor in this course lacks thorough explanation of the topics being discussed.
创建者 Jahed N
•Feb 7, 2022
Too less material and exercise for PySpark. Some interesting statistical explanations
创建者 Jacobo D L
•Oct 18, 2020
would like to have the video examples codes / link to follow the exercises hands on
创建者 Jason A
•Feb 4, 2020
more hands-on would be nice, rather than having so much of the code pre-written
创建者 Bhaskar N S
•Apr 4, 2020
Compared to other courses in AI Engineering, this one was a bit too technical
创建者 Vitor A
•Jun 4, 2020
Content was ok. Not many insights why Apache is better/faster than others.
创建者 Pravin K
•Jul 21, 2020
Not Clearly Understandable. Lack of Deep Knowledge provided on the course