À propos de ce cours
Meilleurs avis
par OA
•Nov 26, 2018
It's a pretty interesting course, specially that's the only one that teaches featuring engineering with a focus on production issues, but it assumes some knowledge with apache beam, and dataflow.
par P
•Mar 07, 2019
The content is great, not just from a technical point of view but for all the know-how that the different instructors share during in the videos and labs.
80 avis
par Bill Fugaru
•Apr 20, 2019
Excellent course, great trainers.
par Francois Ragnet
•Apr 17, 2019
Very interesting theory, shows the power of Tensorflow in the field. I had trouble with the last lab though, which when I ran it step by step, would block my qwiklab account because of resource limitations...
par Arman Ahmed
•Apr 11, 2019
Pros: Tensorflow is an excellent framework for deep learning
Cons :
1- The way this material is designed is 10 X SHIT
2- Either teach properly or don't teach at all.
par Marko Hursti
•Apr 06, 2019
Basically this course would receive four stars, but repeated problems with qwiklabs had a severe impact on my overall experience. I got thrown out three times in a row (and my account locked) during dataflow lab.
Every time I had to request unlockin of my account, which took half a day every time. When requesting advice to avoid this error, I got offered the general and vague explanation that I "should only use the resources required by the lab". I am 100% sure that I didn't use any extra resources, including zones and regions.
The Coursera's helpdesk went behind the excuse that Qwiklabs is a third-party service. That may be the case, but since Qwiklabs has been integrated into the Courseras' course, the ultimate responsibility lies with Coursera.
I hope that Coursera will co-operate with Qwiklabs to sort out this very annoying problem.
par Stephen Yin
•Apr 06, 2019
Great teaching
par Sujeethan Vigneswaran
•Apr 02, 2019
Great, Labs were redundant at times.
par Said A
•Mar 22, 2019
A separate course to emphasise the role and importance of feature engineering in machine learning is what really got to me. With examples and explanation how your model can improve with feature engineering did the trick. Before, it was just a note in my notebook. Now, I really understand the importance of it.
However, having said that, the course could have been much shorter. It feels like, these courses are Google way of promoting its ML Cloud services.
par Harm te Molder
•Mar 13, 2019
This was hard. Not directly applicable to where I am in my machine learning career, but good to know in the future, nonetheless...
par Hua Sitao
•Mar 11, 2019
Hope all the materials in this course will be updated soon. However , thanks to all of you!
par Patxi Gadanon
•Mar 07, 2019
The content is great, not just from a technical point of view but for all the know-how that the different instructors share during in the videos and labs.
