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How Google does Machine Learning, Google Cloud

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>>> 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 <<< 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....

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автор: JT

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.

автор: VD

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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Рецензии: 408

автор: Shashank Goud

Feb 20, 2019

completely understood within a week. one of the best certifications i have had on coursera. recieved no certification whatsoever. utterly disappointed.

автор: Harm te Molder

Feb 18, 2019

Getting a bit of hands-on experience towards the end was fun, but I now get why you said I'd need a bit of theory first. Great work

автор: Brian Ray

Feb 17, 2019

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

автор: anil prakash singh

Feb 14, 2019

great course!

автор: Ata Mustafa

Feb 13, 2019

quick overview!

автор: Michael Boerrigter

Feb 11, 2019

Good intro to Machine Learning.

автор: Jaseem Ahamed K K

Feb 09, 2019

Learned a new skill. its really interactive session

автор: Angela Johnson

Feb 08, 2019

Presentations great. Unable to complete all sections of the labs

автор: Abhishek Kumar

Feb 08, 2019

A good one. May be , there should be less focus on theoretical part. And more hands-on work.

автор: Ishaan

Feb 07, 2019

Very well structured course to get started into ML. Takes the barriers to learning by making things really simple to understand. The instructors were really great too!