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How Google does Machine Learning(으)로 돌아가기

Google 클라우드의 How Google does Machine Learning 학습자 리뷰 및 피드백

6,836개의 평가
1,071개의 리뷰

강좌 소개

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: <<<...

최상위 리뷰

2018년 11월 5일

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.

2019년 3월 20일

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

필터링 기준:

How Google does Machine Learning의 1,061개 리뷰 중 251~275

교육 기관: Joaquín A C V

2020년 11월 7일

Very interesting course as introduction into machine learning with Google Cloud :)

교육 기관: Edimar S R J

2020년 5월 23일

Sensacional! Um aprendizado completo com vários vídeos interativos e laboratórios.

교육 기관: Shubham B

2018년 8월 4일

Good to start learning about practical Machine Learning and Google Cloud Platform.

교육 기관: Yendra T P G

2021년 4월 13일

Good to know and quick glance introduction to google machine learning environment

교육 기관: Syed A H

2020년 11월 16일

An Insightful course which will change the way you think and do Machine Learning.

교육 기관: Vivek P

2018년 7월 25일

ML API Lab was not configured properly as the web view was not enabled in console

교육 기관: victor a a v

2018년 5월 2일

Thes best course to turn machine learning into a service that reinvents companies

교육 기관: MICHAEL G N

2020년 4월 30일

Just wonderful, practical, and insightful. Josh Cogan`s 5 phases are priceless!

교육 기관: V R

2020년 1월 8일

Thank you Google for making ML accessible by all through high level abstraction

교육 기관: Rohan S

2019년 6월 29일

It's a good introductory course to understand how to use google cloud platform.

교육 기관: Sathindu K

2019년 5월 6일

Great course to get a quick idea regarding GCP and how ML took place in Google.

교육 기관: Deleted A

2018년 6월 10일

It was a very interesting and a very well explained course!!! Thank you so much

교육 기관: Nino L

2021년 1월 27일

Great knowledge, I'm very grateful that Google wants to share their knowledge.

교육 기관: mohamed b

2019년 3월 29일

Nice to part of this learning services,Trainer trained the skills very nicely.

교육 기관: Jean A M

2020년 9월 20일

Excelente, para comenzar tiene todo lo mejor de manera concreta y interactiva

교육 기관: Ashok R

2019년 7월 26일

Great course provides overview of Google services in Machine Learning and Clo

교육 기관: Gustavo M

2018년 6월 29일

A very good opportunity to learn from Google how to take advantage of the GCP

교육 기관: SOREN M S

2020년 11월 11일

Amazing introduction to anyone that wants to start learning Machine Learning

교육 기관: Shahul H A

2020년 1월 12일

Very insightful and clarified a lot of processes that I wanted to streamline

교육 기관: Karen D C

2019년 4월 2일

It was easy to follow and had a lot of useful information. A great overview.

교육 기관: Alberto C

2018년 9월 20일

Very good course, not just technicism but also an outlook to the world of AI

교육 기관: Josian Q

2020년 5월 15일

The course was very informative and gave interesting tips at a basic level.

교육 기관: Hsin-Wen C

2019년 10월 16일

Thank you for this fun and playful course you make my day become brighter:)

교육 기관: SULTHAN M N

2018년 12월 30일

very intresting and get a lot experience were gained by this specilaization

교육 기관: Akshat U

2018년 10월 13일

Awesome experience doing this course. Concepts explained with relations. :)