Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.
Introduction
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审阅
Aug 27, 2019
Meticulously planned course. Since it is Google developed training so will be helpful for improving the application of ML with Google technologies. I like the QwikLabs to give some hands on.
Aug 8, 2020
This course was informative and I learned a lot about Machine Learning and the Google Cloud Platform. The platform was easy to follow even though I had some bumps when accessing QwilLabs.
从本节课中
Module 2: Identifying business value for using ML
This module begins by defining machine learning at a high level and then helps you gain a thorough understanding of its value for business by reviewing several real-world examples. It then introduces machine learning projects and provides practice using a tool to assess the feasibility of several ML problems.
教学方
Google Cloud Training
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