GS
8 de abr. de 2020
This course covers a lot about the data pre-processing, and the tools available in Google Cloud to enable the gruelling tasks. Thanks very much for the lectures and training labs. Very informative.
OA
25 de nov. de 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.
por Keith H
•1 de sep. de 2019
Love the course but this specialization is fairly complex and is new type of thinking as such take a bit of understanding.
por Gregory R G J
•30 de ene. de 2019
Thumbs sideways.
I learned a ton but it appears as technology grows and changes updates to the platform is sort of static.
por Zezhou J
•9 de nov. de 2018
The content is quite rich in this course. I feel decomposing it into two weeks might make it structurally more clear.
por Frederik C
•18 de nov. de 2019
Very well explained, lost time during tutorials because of apache beam version conficts with google cloud dataflow
por Roberto T
•11 de ene. de 2020
starts off with a bang, and generally excellent. the tf.transom section needs a bit of freshening and refocusing
por Vamsi K B
•11 de mar. de 2020
This course gives an ample understanding on the significance of Features and Data in Machine learning.
por Attila B
•8 de dic. de 2018
Really comprehensive course.Was a bit tough to follow sometimes,but guess it's just beginners problem.
por RIJO R
•8 de sep. de 2020
Good Course, helped me to learn something new about GCS and feature learning. Thanks for this course.
por Emily T
•5 de jul. de 2019
This course really needs more hands on work with code, but it was still good and I learned lots.
por Sandeep K
•29 de jul. de 2018
this was really good, except removed one start for trifacta integration of dataflow lab.
por Srichakradhar R N
•13 de dic. de 2018
Felt like it was cut short at the end. Would like to see a bit more on the tf.transform
por borja v
•21 de jun. de 2019
the course needs some code upgrades because of ML engine is close to be depecreated
por Jiong S W
•15 de abr. de 2022
Good guidance more detailed explanations then it would be perfect.
por ThemisZ
•4 de feb. de 2020
very nice course , -1 star for no pdf/ppt notes made available
por Alexander Z
•29 de dic. de 2018
great content and cool notebooks ... sometimes hard to follow
por Marcos H
•8 de nov. de 2018
Very practical and Lak is a great teacher and communicator!
por Fernandes M R
•15 de may. de 2020
Maybe a little more example of how deal with features.
por Malithi N
•25 de may. de 2020
This course explains theories nicely with labs
por Joel M
•6 de dic. de 2018
good clear instructions, and valuable content.
por Anupam P
•26 de ago. de 2019
Comprehensive yet precise and clear.
por Rohit K A
•24 de dic. de 2018
No course material for reference
por Michael C
•29 de nov. de 2020
Very important information here
por Rahul K
•5 de may. de 2019
Lovely Course. Thanks Google
por Eran T
•20 de mar. de 2022
Focuses mostly on DNN
por Ripunjoy G
•21 de nov. de 2019
Labs have problems