Excellent course! All the explanations are quite clear, a lot of good quality information provided from amazing teacher. Additionally, response times for any question is very fast.
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.
par Nelson C S•
Excelente Curso, muy bien explicado !
par Manjiri N•
I find this course very interesting.
par Fernandes M R•
It is not the best, but it is good.
par Nguyen T T•
Handful material, great course!!!
par Edson J M•
Perfect course to learning Spark
par Pratik P•
Great Course Highly Recommended
par Michel E H•
Amazing course! Thank you!
par Vaibhav Y T•
par Krishna H•
Very good course!
par ever b•
par Erickson D M d F•
par SAMIR B•
par Julien V•
Great course !
par Vivek C•
par Harsh S•
par Aditya M P•
par Manjot S D•
par PARITOSH P•
par Yassine E•
par Dr.Lakshmi D•
par Krish g•
par shaik m y•
par ashish k•
par Aaron C•
TLDR for those who don't want to read through all of that, the course gives a shallow entry into the data engineering part of machine learning. I wished they would make the course more challenging, so that we would learn more.
For people considering the IBM AI engineering specialization and this course, I would say that it is a very good introduction. For those looking for a more in-depth approach to ML and DL, then this course isn't going to hit those areas. Regarding this course specifically, they did a good job explaining the concepts well. I would have preferred if they made the course proejct a lot less hand holding. They essentially give you the jupyter notebook with all the ETL procedures done, and you change like 4 variables, which isn't really intellectually stimulating or challenging. I understand that the course is meant to be an introduction, but I think asking us to do the ETL by ourselves with less rail guards would teach the students a lot more. Like I would say I learned more about Apache Spark and functional programming from the 2nd module quiz than the course project, because the quiz had us writing the code ourselves, and I had to learn and debug functions on my own.
par Simon P•
I can't fault Romeo for his enthusiasm and engagement in the forum, and nor do I think his accent is a problem. I can say I learned something from this course, but there are a few negatives
-- Some parts appear unprofessional. This includes the initial videos filmed in the car, the prompts stating that parts are out of date, and the on-the-fly coding in the week 3 and 4 videos
-- The course is initially jargon heavy, but it is pitched at quite a low level otherwise. There is a lot of hand-holding, for the final project you make two alterations to the code already supplied and then copy and paste the results. It would benefit from a review of the didactics.
-- I would have loved to have had more opportunity to play with the data. Why not a tutorial on using SQL or data cleaning? Why not more on the application of the ML tools? There's a definite feeling of being in a sandpit and not being allowed out.
That said, I now have experience with ApacheSpark and I understand how to use it to implement some ML methods, which is good.