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.
Human bias in ML
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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.
Jun 4, 2020
Course is good for anyone who would like to understand what ML is and what it is capable from business standpoint. Content is prepared andpublished in a nice way for anyone to understand.
从本节课中
Module 5: Using ML responsibly and ethically
Data in the world is inherently biased, and that bias can be amplified through ML solutions. In this module, you'll learn about some of the most common biases and how they can disproportionately affect or harm an individual or groups of individuals. You'll also be given guidelines for uncovering possible biases at each phase of an ML project and strategies for achieving ML fairness as much as possible.
教学方
Google Cloud Training
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