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Google 클라우드의 기능 공학 학습자 리뷰 및 피드백

4.5
1,066개의 평가
103개의 리뷰

강좌 소개

Want to know how you can improve the accuracy of your machine learning models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering on Google Cloud Platform where we will discuss the elements of good vs bad features and how you can preprocess and transform them for optimal use in your machine learning models. In this course you will get hands-on practice choosing features and preprocessing them inside of Google Cloud Platform with interactive labs. Our instructors will walk you through the code solutions which will also be made public for your reference as you work on your own future data science projects. >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...

최상위 리뷰

OA

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.

P

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.

필터링 기준:

기능 공학의 103개 리뷰 중 1~25

교육 기관: 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.

교육 기관: Stephen R

Aug 27, 2018

A lot of the code, did not work.

교육 기관: Ian M

Jul 27, 2018

Had a lot issues with the quiz grader.

교육 기관: 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.

교육 기관: Martin A K

May 31, 2019

Would appreciate more guidance on the exercises

교육 기관: 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.

교육 기관: 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.

교육 기관: Raja R G

Dec 07, 2018

Learned lots of stuff on feature engineering

교육 기관: Mark B

Dec 26, 2018

Very useful. Good job.

Hands-on parts could be broken into smaller chunks with longer de-briefs.

교육 기관: Eric

Feb 02, 2019

Learned a lot

교육 기관: Amir K

Nov 08, 2018

this is the most interesting part

교육 기관: 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.

교육 기관: Abdul R Y

Nov 28, 2018

Great Course!

교육 기관: SULTHAN M N

Jan 18, 2019

had a great experience

교육 기관: Hua S

Mar 11, 2019

Hope all the materials in this course will be updated soon. However , thanks to all of you!

교육 기관: 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.

교육 기관: 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!!

교육 기관: 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.

교육 기관: Bielushkin M

Nov 16, 2018

super

교육 기관: 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.

교육 기관: Subham T

Jul 31, 2018

Best course to learn feature engineering

교육 기관: Aditya h

Aug 14, 2018

Best course in the series so far! liked the labs, a bit heavy and challenging at the same time

교육 기관: RLee

Aug 14, 2018

Lak is awesome in his well-thought explanations!

교육 기관: Wolfgang G

Jul 22, 2018

Very, very comprehensive deep dive into the "real" stuff. tf.transform truly rocks, guys!

교육 기관: 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.