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Отзывы учащихся о курсе Проектирование признаков от партнера Google Cloud

4.5
Оценки: 999
Рецензии: 98

О курсе

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 <<<...

Лучшие рецензии

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.

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26–50 из 98 отзывов о курсе Проектирование признаков

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

автор: RLee

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

Love it.

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.

автор: 林佳佑

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

автор: 서영웅

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

super

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

Thank you.

автор: Bill F

Apr 20, 2019

Excellent course, great trainers.