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How Google does Machine Learning, Google Cloud

2,249 ratings
382 reviews

About this Course

>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: <<< What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. Then, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this....

Top reviews


Nov 06, 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.


Jul 29, 2018

It is very informative about the machine learning and AI usage in Google products and provide deep dive into GCP platform in very intuitive way. I recommend to AI aficionado.\n\nThanks you Google!!!

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378 Reviews

By Ron Zandbergen

Jan 15, 2019

Course is quite basic. The video is broken into very small snippets which makes watching quite jarring

By arpan guria

Jan 15, 2019

nice learning experience

By Gaurav Makkar

Jan 14, 2019

An excellent overview providing a birds-eye view of where ML fits in the larger scheme of a software project and how it evolves. It also provides a good introduction to leveraging Google's ML APIs.

By Mercy Markus

Jan 14, 2019

I enjoyed taking this course, gained an idea of how ML models are being scaled at Google.

By Jenny Vega

Jan 14, 2019

Good introduction to Machine Learning basic concepts

By Mario Rivas

Jan 13, 2019

Nice intro of how Google has developed tools to facilitate ML, most important is the way you get used to use GCP.


Jan 13, 2019

Really good introductory course.

By Alan Ignacio Sepúlveda Rodríguez

Jan 10, 2019

Excelente curso, gracias!

By Nikola Mandic

Jan 08, 2019


By Nadim Farhat

Jan 08, 2019

As a novice machine learning engineer these high level lectures are best viewed in the end of the specialization.