课程概述
热门审阅
GS
Apr 8, 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
Nov 25, 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.
126 - Feature Engineering 的 150 个评论（共 203 个）
创建者 Kevin C
•Aug 26, 2018
In contrast to other courses in this specialization, this course had some meat in it and was more than just a thinly disguised ad for Google Services.
创建者 Michael E
•Apr 30, 2020
The course was very informative, but I think that there are opportunities for the student to have to figure out how to do more portions of the labs.
创建者 Subramani S
•Jan 2, 2023
It contains great content for beginners and it was clear ! only thing is the lab session can be interactive rather than running the cells !
创建者 maheboob p
•Apr 21, 2019
faced multiple issues
a)Qwiklab wasnt allowing to login with error that said "account is locked"
b) labs were not as interesting as others
创建者 Wang Y
•Oct 7, 2018
Nicely explained concepts with real world examples! Could have explain more about the code and the meaning behind some of the qwiklabs.
创建者 CY J
•Jan 27, 2020
Good to learn the Feature Engineering. Tried all of Graded External Tool using Cloud Shell because AI Platform Notebooks doesn't work.
创建者 Harm t M
•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...
创建者 Keith H
•Sep 1, 2019
Love the course but this specialization is fairly complex and is new type of thinking as such take a bit of understanding.
创建者 Gregory R G J
•Jan 30, 2019
Thumbs sideways.
I learned a ton but it appears as technology grows and changes updates to the platform is sort of static.
创建者 Zezhou J
•Nov 9, 2018
The content is quite rich in this course. I feel decomposing it into two weeks might make it structurally more clear.
创建者 Frederik C
•Nov 18, 2019
Very well explained, lost time during tutorials because of apache beam version conficts with google cloud dataflow
创建者 Roberto T
•Jan 11, 2020
starts off with a bang, and generally excellent. the tf.transom section needs a bit of freshening and refocusing
创建者 Vamsi K B
•Mar 11, 2020
This course gives an ample understanding on the significance of Features and Data in Machine learning.
创建者 Attila B
•Dec 8, 2018
Really comprehensive course.Was a bit tough to follow sometimes,but guess it's just beginners problem.
创建者 RIJO R
•Sep 8, 2020
Good Course, helped me to learn something new about GCS and feature learning. Thanks for this course.
创建者 Emily T
•Jul 5, 2019
This course really needs more hands on work with code, but it was still good and I learned lots.
创建者 Sandeep K
•Jul 29, 2018
this was really good, except removed one start for trifacta integration of dataflow lab.
创建者 Srichakradhar R N (
•Dec 13, 2018
Felt like it was cut short at the end. Would like to see a bit more on the tf.transform
创建者 borja v
•Jun 21, 2019
the course needs some code upgrades because of ML engine is close to be depecreated
创建者 Goziem M
•Jan 26, 2025
should have been a lab for Apache Bean on Dataflow and Tensorflow transformation
创建者 Jiong S W
•Apr 15, 2022
Good guidance more detailed explanations then it would be perfect.
创建者 ThemisZ
•Feb 4, 2020
very nice course , -1 star for no pdf/ppt notes made available
创建者 Alexander Z
•Dec 29, 2018
great content and cool notebooks ... sometimes hard to follow
创建者 Marcos H
•Nov 8, 2018
Very practical and Lak is a great teacher and communicator!
创建者 fernandes m
•May 15, 2020
Maybe a little more example of how deal with features.