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Отзывы учащихся о курсе Applying Machine Learning to your Data with GCP от партнера Google Cloud

4.7
звезд
Оценки: 536
Рецензии: 57

О курсе

In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML. PREREQUISITES To get the most out of this course, participants must complete the prior courses in this specialization: • Exploring and Preparing your Data • Storing and Visualizing your Data • Architecture and Performance >>> By enrolling in this specialization 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

MB

Jan 22, 2019

Enjoyed. I would add more in-depth ML part for BigQuery and different scenario. it also good to explain metric how and how to choose right features etc

LL

Aug 11, 2018

The instructor Evan is super great to rolling out machine learning in an easy /understandable way. hope he can tech more in-depth of machine learning.

Фильтр по:

26–50 из 55 отзывов о курсе Applying Machine Learning to your Data with GCP

автор: Gabriella E

May 27, 2020

great class!

автор: Grandhi P B

May 22, 2020

Nice Course

автор: Oleg Z

Nov 20, 2018

nice course

автор: Saiyed M H R

Aug 26, 2019

Excellent

автор: Manuel F N E

May 12, 2020

Did it!

автор: Firza A H

May 27, 2020

gooodd

автор: SOUTRIK S

Apr 17, 2020

GREAT

автор: AMARTHALURU N K

Nov 24, 2019

good

автор: Atichat P

Sep 11, 2019

Good

автор: Ekta M

Aug 20, 2018

good

автор: José R P

Feb 08, 2018

ok

автор: Agile A

Apr 05, 2020

Good course, well explained. The instructor was engaging and friendly. Having us create our own ML model without providing the SQL query for it in advance would be challenging and certainly some very good practice.

автор: Marga M

Mar 12, 2020

This course is pretty interesting. The most interesting of the whole specialization. The labs are cool, but it's all copy & paste. It'd have been nice to have to come up with some solutions myself.

автор: Chariton C

Sep 14, 2018

It would be nice if the labs had additional/different code then the one explained over the videos.

автор: ONG K S

Apr 17, 2020

Overall, this course is easy to understand and practical. Not much technical jargon.

автор: Christopher C

Mar 01, 2018

Good introduction to ml for me given i had no previous knowledge on the basics.

автор: SUMA G

Feb 28, 2020

Course was simple to understand and very effective with good syllabus

автор: Giorgio M

Apr 24, 2020

Lot of insight, maybee more checks for the labs and self development

автор: Mursyied Q

Apr 27, 2020

Very difficult and fun

автор: Raden R

Aug 25, 2019

Almost perfect

автор: Hernán D R S

Jun 02, 2019

Nice Course.

автор: SOUGATA M

Apr 17, 2020

VERY GOOD

автор: Andrew P B

Jan 28, 2018

This is a very uneven course. There is some good material in the latter stages, but the initial coverage is very superficial. Some of the labs appear to have been lifted from Google's standard demos that you can find on the web. The qwiklabs tool is very tiresome, timing out your session after 90 mins, which means that on the more interesting lab there isn't time for proper exploration before your datalab session is reset (and lost). This seems unnecessary and mars what could have been very interesting.

автор: Juan D O

Jul 16, 2018

I very disliked this module because of the accelerated labs in the end. I felt the the material of the last lab was worthy to invest at least a week of work. I also think that the 90 minutes lapse on Quicklab to finish the lab was not well suited for comprehensively studying the lab content. I would like to have had more time for experimenting by myself.

автор: vincent p

Jul 02, 2018

Need more about the benefits of using Cloud Engine or DataFlow. The lab only shows that using those services is 100 times slower than local, which I think should not be the case.