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
4.6（3,560 个评分）
- 5 stars70.61%
- 4 stars23.51%
- 3 stars4.07%
- 2 stars0.67%
- 1 star1.12%
MC
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.
SA
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 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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