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

4.6
stars
7,218 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

JT

Nov 5, 2018

Great to know how to do machine learning in scale and to know the common pitfalls people may fall into while doing ML. Provides great hands-on training on GCP and get to know various API's GCP offers.

PB

Mar 20, 2019

Really easy with all instruction.I didnt feel bored at any point gave me the basic idea of what is machine learning and how easy google made API's and cloud platform for machine learning

Thank you

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776 - 800 of 1,108 Reviews for How Google does Machine Learning

By Pratik S

Sep 24, 2019

nice

By 吳金霖

Sep 6, 2019

GOOD

By Alex T

Aug 11, 2019

Good

By Arpita G

Jul 8, 2019

Good

By Sanjib B

Jul 5, 2019

nice

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May 12, 2019

nice

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May 11, 2019

best

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Apr 29, 2019

good

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Apr 23, 2019

Good

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Apr 21, 2019

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Apr 21, 2019

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Dec 23, 2018

nice

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Nov 15, 2018

Good

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Oct 23, 2018

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Oct 17, 2018

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May 31, 2018

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Apr 20, 2022

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Aug 16, 2018

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Jan 10, 2023

A+

By RAHUL D

Oct 10, 2020

GG

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Mar 2, 2020

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Oct 20, 2018

ok

By Brad B

Aug 6, 2018

Very exciting to be able to learn this directly from Google and get introduced to QwikLabs and Cloud Datalab... the process of accomplishing the labs does seem to be cumbersome, but perhaps the details will be explained later (how accounts are processed, APIs activated, credentials... how data and compute engines are kept on standby or persistent once setup...). I have had some difficulties with getting the labs to work at times... couldn't see the Webview widgets at one point, because I didn't realize that I had to close the menu bar on the left side of the screen.

I have very much appreciated the overview introduction to the Google approach to ML... that is very helpful... knowing how to choose processes for ML and an appropriate approach to them... also keeping the scope of what they do somewhat limited and breaking it into pieces.

Having some experience with SQL and Python are very helpful for completing the labs and while I have had some of both, my skills are rusty. I might go off and study both of those topics and then plan to come back to this course, but I will see how the next week goes.

Thank you.

By Ang K K

Sep 13, 2019

Lak gave very good presentation in other lectures. However, in the first few lectures of this course, Lak was looking at the computer instead of the camera. It will be good if Lak can redo these lectures and look at the camera and hence maintain eye contact with the audience. In addition, if possible, try not to sway too much as it is very distracting. Overall, course is informative despite other comments about advertisement for Google. This is about how Google does Machine Learning after all.

By Liang-Yao W

Sep 8, 2018

A good introduction to how machine learning applications/products work in big companies like Google, and how path toward ML would look like. First hand experience from google should be valuable. Also get to try out google cloud platform. One star off because some of the exercises become nontrivial to follow because some user interfaces have changed since the course was recorded (but can still be completed with some try).