Debiasing AI Using Amazon SageMaker
With Kesha Williams
Liked by 129 users
Duration: 1h 42m
Skill level: Intermediate
Released: 6/7/2019
Course details
Artificial intelligence (AI) can have deeply embedded bias. It’s the job of data scientists and developers to ensure their algorithms are fair, transparent, and explainable. This responsibility is critically important when building models that may determine policy—or shape the course of people’s lives. In this course, award-winning software engineer Kesha Williams explains how to debias AI with Amazon SageMaker. She shows how to use SageMaker to create a predictive-policing machine-learning model that integrates Rekognition and AWS DeepLens, creating a crime-fighting model that can “see” what’s happening in a live scene. By following the development process, you can learn what goes into making a model that doesn’t suffer from cultural prejudices. Kesha also discusses how to remove bias in training data, test a model for fairness, and build trust in AI by making models that are explainable.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Derrick L. Majani
Derrick L. Majani
Data Scientist @ Compassion Health Services LLC | AI, Machine Learning
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Derek Frempong
Derek Frempong
Fractional CTO | 5 Patents | White House Innovation Fellow Alum | Software Architecture, Engineering, & UX Leader
Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 4 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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