Jan 09, 2018
Thank you very much for making this course available on Coursera, I cannot agree more the knowledge of Mr Venkat. This is a great way to help people to get started with Google Machine Learning.
Sep 08, 2018
A very good course on TensorFlow, ML and Google MLE on GCP.\n\nThe Labs are self contained and the problems proposed are very challenging. I learned a lot on this course.\n\nThank you!
Sep 28, 2018
Willing to rate first couple of courses well for intro. By now expected much more meat - details, coding exercises - not the high level skimming of the tools. Almost an advert for GCP. Anyone with minimum java/python reading level can take this class - no intermediate programming involved.
par Babak T•
Nov 18, 2017
Great course in many ways, but I encountered a lot of errors/warnings regarding outdated TF-versions. Kind of felt unprofessional at times because of that. Otherwise - great content, great tutorials, great lectures and great labs!
Jan 09, 2018
The theory of ML the course introduced is quite basic, the usage of TF isn't taught in detail. So I am a little disappointed, besides that the accent of the teacher is a little bit hard to understand.
par Aleksandr S•
Mar 17, 2019
The course is not very well balanced in my opinion. It is very sparse in very beginning and labs do not differ much. Last two modules are too much information and labs complexity grows exponentially.
par Jay S•
Jun 26, 2017
Good introductory course for use of TF on GCP! Prior knowledge of TF would be handy as well. Video recordings needs improvement. Video clips from a group class setting appear in the course as well.
par Sebastian M•
Jun 25, 2017
The title doesn't reflect the real content of this course, it is more like an introduction to start developing on ML solutions rather than to actually getting in to production on ML google engine
Sep 04, 2018
Some of the transcription is not in the right order or with the right video. Some of the videos are split up when they would be better if they were put together.
par Jose F C P•
Nov 19, 2018
El curso es correcto, demasiado denso, para acabar solo arañando la superficie de lo que es Machine Learning. Los laboratorios ha sido pésimo.
par Zdravko P•
Aug 16, 2017
Course is fine, but attention to detail is horrible. I mean, 4 sec videos... Old material which is not removed. Duplicated videos...
par Yershov M•
Sep 15, 2018
Bad English subtitles, some video interrupts in mid-sentence. I think, it is important course, and it could be more qualitative.
par Eric K•
Dec 24, 2017
many of the classes had copies in the next video - or had stopped midway in conversation. - please review and re-edit.
par benoit b - s•
Jan 08, 2019
Much harder than the three first courses. Specially for someone who didn't know tensorflow at all!
par Daniel M•
Jan 06, 2018
Tends to drag on a bit and the instructor does nothing to make machine learning sound interesting.
par Ivan S•
Nov 10, 2017
Quality of material is mediocre:
-tons of useless short videos
-inconsistent sound level
par Muhammad D N A•
May 01, 2019
the lab is outdated but features engineering is suitable for Data Engineer to implement on works
par Glauber L•
May 26, 2018
It would be better to present a easier material on TF. This is not for someone starting on TF.
par Oscar A B L•
Sep 17, 2019
para sacarle un mejor provecho al curso es necesario entender por completo python.
par Jörn U G•
Dec 07, 2019
Good course. Learning experience is mediocre due to many issues in the Lab's .
par Pritesh S•
Feb 26, 2019
Make assignments on big data more interactive, and give more time to complete.
par rodrigo o•
Dec 10, 2018
if you read this before taking this course, believe me you will need PATIENCE!
par Justin G•
Oct 12, 2017
Some funky non editing in the videos, but overall this was a good overview.
par Yuri G•
Apr 29, 2019
Often video repeats same things over and over, provides obvious examples.
par Oleg M•
Dec 06, 2019
Spent more time fighting with Qwiklabs than watching videos.
par Priyank m•
Mar 14, 2018
Need good understanding of Python and TensorFlow syntax.
par Alvaro R F•
May 03, 2019
I understand the complexity, this is why I rate 3 stars