Dec 12, 2019
Really really REALLY enjoyed this course! The instructor does a masterful job of going from simple examples and building up complexity in a very logical and thorough way.
May 01, 2020
I like the example given and step by step tutorial given. The explanation of why things are the way they are designed certainly helped me understand the concept. Kudos.
교육 기관: Aaditya M•
Jun 26, 2020
Videos are outdated which makes it hard to follow along sometimes.
교육 기관: Wenbo Z•
May 26, 2020
The contents are not well-organized and sometimes confusing.
교육 기관: Xueling L•
Jun 11, 2020
Video is too blurry and so is the content of course.
교육 기관: مجید د•
May 24, 2020
course video's need a complete revision
교육 기관: Gao S•
Dec 21, 2019
Instructor accent is strong
교육 기관: NoOneMine•
May 12, 2020
Pls improve sound quality
교육 기관: LINDA A L•
Jun 30, 2020
Difficult to follow
교육 기관: Tarun C•
Mar 14, 2020
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.
교육 기관: email@example.com•
Jul 08, 2020
Too high-level, mismatch between code and Watson setup Video vs working notebooks, teacher does not explain basic building blocks re RDD and DF what is the difference, when each of them should be used, complicated subjects have videos by 3-5 minutes, absolutely simple exercises. What is the basic difference with sckitlearn and how different work should be organized. NO any supporting materials, some code is not working, errors in videos with clues "don't do this"... Not serious approach for building this course. Sorry
교육 기관: Cristina G•
Apr 14, 2020
Unfortunately, there seems to be quite a few errors in the course. The only skills that you can actually take away is how to use Apache Spark. The machine learning and evaluation metrics explained in this course are riddled with errors. When writing to the teachers the only thing they say is they are checking on it and will get back to you and never do. I usually really like the IBM courses but this one was by far the worst MOOC I have taken so far.
교육 기관: Gaby B T•
Apr 06, 2020
One of the worst courses I ever had.
1 - The whole thing seems rushed. A lot of mistakes!
2 - Confusing slides and exercises.
3 - Useless quizzes that provide no additional benefit to the learner.
4 - Uncompleted transcripts under the videos.
I do not recommend this course. Unfortunately, I have to complete it for a specialization, otherwise, I would have abandoned it.
교육 기관: Jafar P•
Jun 22, 2020
This course is good but could be much better. It is not as clear and explained as the first one "Machine learning with Python". It would be good to keep the same way of explaining. It should be "easy" to understand for someone who has never studied AI before (which is the case for the first course).
교육 기관: Panagiotis P•
Apr 18, 2020
The course is definitely one of the worst i had in coursera. Many issues with the sound (week 1) which in combination with the very hard accent of the tutor becomes unbearable for the first 2 weeks at least. The concepts are not explained enough. If you really want to learn choose something else.
교육 기관: Pietro D•
Jan 03, 2020
The course is based on a previous version of IBM Watson platform that makes too many slides outdated. Too much time is dedicated to the definition and computation of basic statistical moments. The same information about Apache Spark is published on the project's website.
교육 기관: ANURAG G•
Apr 17, 2020
The course has been forcefully put inside the IBM AI Engineering Professional Course, and does not fit in. The course instructor fails to explain the details in an effective way. Overall this course is not designed to be a part of this specific specialization.
교육 기관: Nils N•
Mar 24, 2020
Maybe I do not have knowledge about Python, but a lot of things were not understandable for me. In addition, parts of the course are still shown in an older, out-of-fashion version of Watson. The shown code is not working in todays version
교육 기관: Claudio C•
Apr 27, 2020
The course should be reorganized. The video are taken from different courses and is not fluid follow it. There is very little in programming with functional programming. There are many concepts but not well explained. Not advided!
교육 기관: Juho H•
Apr 23, 2020
The course teaches important concepts and skills on how to scale your machine learning algorithms - but it is in a desperate need of an overhaul to fix the numerous errors in the videos and workbooks.
교육 기관: Esteban H E•
Jan 29, 2020
Not clear at all.
A lot of things are not explained, or explained in a confusing way. I learn more by researching what things meant than from lectures
교육 기관: Friscian V C•
Jul 07, 2020
I dont like the instructor very much. I feel like his explanations are not the best and everything was just too fast.
교육 기관: Vikram v s s•
Jul 03, 2020
It's very difficult for a beginner (like me) to understand the whole science behind the concepts in Apache Spark
교육 기관: Suman k s•
May 17, 2020
Explanation not satisfactory and exercise also not so good.
too much issue in setup all these exercises.
교육 기관: Billy•
Jan 16, 2020
focus too much on practical skills than the balance of concepts and implementations
confusing to follow
교육 기관: Tamador A•
Jun 03, 2020
The course should give more in-depth assignments and also more explanation.