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Learner Reviews & Feedback for How Google does Machine Learning by Google Cloud

4.6
stars
7,240 ratings

About the Course

This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models. The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them....

Top reviews

ZJ

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Interesting and engaging content of ML. The course is structured well and emphasizes important aspects of ML which tend to be overlooked by many. Just hope some exercises could be further refined.

NS

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This is a good introductory course on how actually Machine Learning is being developed in Companies like Google. It covers the basic aspects of how ML is done using Cloud Platform using Cloud APIs.

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876 - 900 of 1,112 Reviews for How Google does Machine Learning

By Brian R

Feb 17, 2019

Very high level so not for everyone; but very good intro to GCP and its services. Labs flowed smoothly.

By Ameet K

Jun 27, 2018

Good basic introduction to google ML. Liked the Business processes and approaches to solving ML problems

By Anthony B

Sep 30, 2020

Great intro to machine learning. A little 'salesy' which takes away from some of the general learning.

By Prateek G

Feb 7, 2022

great course to get started on AI/ML concepts. the labs & tests are a little out of sync with content

By Sarvesh V

Jun 3, 2020

Helps get a brief understanding of the fundamental working of machine learning on Google and use APIs.

By Anand K M

Nov 19, 2018

Very nice course for understanding how google does machine learning using Google Cloud Platform (GCP).

By Michał G

Feb 25, 2021

I prefer more labs sessions. Very interesting was google facets, but there are no labs how to use it.

By Pavan e

May 4, 2020

it would be much more helpful , if the code that is pre written in the jupyter notebooks is explained

By Venkata M T

Feb 7, 2020

Some of the labs were not working verbatim. Needed to make some changes to reflect the latest updates

By Shihao W

Jul 4, 2018

The only problem I have so far is the first presenter keeps swinging and make me feel unprofessional.

By Rupesh K

Apr 7, 2022

Few Practice courses needs detailed about how to setup the complete lab before we start the practice

By Guo L

Jun 20, 2018

Good! It can be better if a highlighted dot can be added when directing step-by-step on the screen.

By Amaan G

Jun 9, 2020

This is mostly information. I loved it anyway. All the information was the latest and up to date.

By Şükrü O

Nov 5, 2018

A good introductory course to get know of the Google Cloud's capabilities and associated aspects.

By Ammar J D

Oct 21, 2018

It was particularly interesting to hear Google's definition of ML and what problems it can solve.

By meet h

Jun 22, 2019

it is nice course for completely unknown with ML and cloud computing, but very easy for others.

By PLN R

Oct 15, 2018

Nice way to begin stuff! Hoping to see amazing stuff in upcoming courses of the specialization!

By Ruixin Y

Jun 3, 2018

I enjoy the course, but I really don't like the last question in quiz 5, it's a waste of time.

By Akshit S

Jun 23, 2020

course was really great and I have learnt a lot from this course about google cloud services

By Azucena C

Mar 28, 2019

Good intro to understanding how Machine Learning is utilized across several Google products.

By Christopher B

May 9, 2021

Very informative, this covered a lot of material and helped my understanding of Google ML

By Anantha P R

Jan 1, 2019

The course is good. I have downloaded all the video. organization of the lecture is good.

By 서영웅

Oct 21, 2018

It can give you the path of data processing using Google Cloud Platform. I recommand you.

By Johan S

Sep 16, 2018

Good course. However there was a bit too much focus on Google APIs over Machine Learning.

By Resve S

May 8, 2018

Good overview of business issues and practical use of ML, especially pre-trained engines.