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.
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.
автор: Marc-andre B•
Jun 14, 2018
Great course except for the sneaky quiz for dataprep
автор: Stephen P•
Jun 14, 2018
Very informative, however in part 5 (iirc) the lab did not match up with the summary video
автор: kishore k r k•
Sep 08, 2018
Best course content in this specialization!!
автор: Russell H•
Sep 24, 2018
A lot of great material that I have not seen covered other ML courses so far. My only complaint is that there is way too much material for a single week. It felt like it should be spread over two weeks at least.
автор: Harold L M M•
Sep 26, 2018
Excellent course! One of the most important in this specialization.
I learned a lot!
Thank you very much Google Team!
автор: Gustavo M•
Aug 27, 2018
Probably the most important part of the specialization, and where I learned the most
Aug 14, 2018
Lak is awesome in his well-thought explanations!
автор: Aditya h•
Aug 14, 2018
Best course in the series so far! liked the labs, a bit heavy and challenging at the same time
автор: Juan P D P•
Aug 31, 2018
A highly sofisticated course about feature engineering and tensorflow union with tf.transform.
автор: Toby H•
Aug 18, 2018
автор: Enrico A•
Oct 27, 2018
This module covers a lot of tricks that should be employed during preprocessing to improve the prediction accuracy of machine learning methods.
Oct 04, 2018
This course teach how to do feature engineering is very useful in working
автор: Morris C•
Oct 28, 2018
It worth to take 2nd times for practice in real world ML feature engineering.
автор: Shigeo M•
Oct 31, 2018
Various enhancements in demonstrating a practical case in feature engineering, starting from ELT through training, evaluating, and lauching an ML engine, taught with a lot of enthusiasm. Recaps of relevant ideas in statistics, algebra and calculus we learned back in our school days (things that some of us "used to know") kind of helped.
автор: Elias P•
Nov 02, 2018
It was the most difficult from all 4 until now, BUT it was worthing the effort!
автор: Amir K•
Nov 08, 2018
this is the most interesting part
Oct 24, 2018
If you want to become AI and Data Engineering jobs, It is really helpful for you.
автор: Bielushkin M•
Nov 16, 2018
автор: Wolfgang G•
Jul 22, 2018
Very, very comprehensive deep dive into the "real" stuff. tf.transform truly rocks, guys!
автор: Jay M•
Oct 14, 2018
Awesome course learned practical things
автор: Sinan G•
Sep 06, 2018
The course provides an overview and details of a very varied, comprehensive, and advanced range of possibilities to do feature engineering. Because the software and API's presented have a lot of details you will have to work a lot more with the information provided to attain a "hands-on" feeling. However you get a good starting point and knowledge of the possibilities.
автор: Meynardo J•
Jul 28, 2018
Very good stuff on feature engineering overall. Feature cross was new to me and looked very promising, and tf.transform was awesome.
автор: Subham T•
Jul 31, 2018
Best course to learn feature engineering
автор: Filbert K•
May 01, 2019
автор: Bill F•
Apr 20, 2019
Excellent course, great trainers.