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1,017 Bewertungen

Über den Kurs

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. >>> 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 <<<...

Top-Bewertungen

JT
5. Nov. 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
20. März 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\n\nThank you

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1001 - 1008 von 1,008 Bewertungen für How Google does Machine Learning

von John M

11. Nov. 2018

Mainly google party line. Not worth paying a subscription price.

von Pranabesh D

28. Apr. 2018

Data Labs not working and Shell timeouts very often

von Leo B

7. März 2019

This should have been split into several weeks

von Javier G M

3. Jan. 2021

This is basically a large ad of google.

von Pranjal D

6. Juni 2020

the external tool is not working at all

von Amir

10. Aug. 2020

very boring content

von vineet j

25. Okt. 2018

Make it more tough.

von Yichi C

14. Sep. 2019

我還沒上完作測驗就過期,不滿意