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.
Sep 23, 2019
Feature engineering is important but less discussed compared to general ML or DNN. Feature cross is a new concept and yet very useful for dealing with large datasets.
par Stephen R
•Aug 27, 2018
A lot of the code, did not work.
par Yasim K
•Sep 12, 2018
The tf.transform and Apache Beam concepts are not explained in simple ways.
Also the lab jumped from simple programs to complex programs.
par Ian M
•Jul 27, 2018
Had a lot issues with the quiz grader.
par Martin A K
•May 31, 2019
Would appreciate more guidance on the exercises
par Sudesh A
•Jul 28, 2018
The videos are good and better than the last two courses in the specialization; however, the labs lack proper instructions and not that helpful. This course seems like more of an advertisement for Google Cloud Platform than feature engineering: details of engineering part is hardly covered in the course; more emphasis is on demonstrating on how to do it on GCP.
par Mike W
•Jun 22, 2019
The notebook based demos are unfortunately pretty useless as labs. All of these courses would be much improved with real labs that require the student to build the system.
par Robert U
•Jun 11, 2019
The assessments do not actually require writing any code; you just execute the given code blocks. Little knowledge will be retained unless students actually write code and solve problems, even for the motivated ones who read through all the given code.
par Raja R G
•Dec 07, 2018
Learned lots of stuff on feature engineering
par Mark B
•Dec 26, 2018
Very useful. Good job.
Hands-on parts could be broken into smaller chunks with longer de-briefs.
par Eric
•Feb 02, 2019
Learned a lot
par Amir K
•Nov 08, 2018
this is the most interesting part
par Omar M A
•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 Abdul R Y
•Nov 28, 2018
Great Course!
par SULTHAN M N
•Jan 18, 2019
had a great experience
par Hua S
•Mar 11, 2019
Hope all the materials in this course will be updated soon. However , thanks to all of you!
par Patxi G
•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.
par Putcha L N R
•Jan 13, 2019
Amazing course! Gives insight into one of the most important part of solving Machine Learning problems; feature engineering!!
par Mario R
•Jan 13, 2019
This course should be mandatory for any ML practitioner. It teaches you that ML is not only about throwing whatever you want to (sort of) a model and expect to get reasonable results. It is about getting to know your problem and squeeze the data available.
par Bielushkin M
•Nov 16, 2018
super
par 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.
par Subham T
•Jul 31, 2018
Best course to learn feature engineering
par Aditya h
•Aug 14, 2018
Best course in the series so far! liked the labs, a bit heavy and challenging at the same time
par RLee
•Aug 14, 2018
Lak is awesome in his well-thought explanations!
par Wolfgang G
•Jul 22, 2018
Very, very comprehensive deep dive into the "real" stuff. tf.transform truly rocks, guys!
par 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.