Mitigating Bias in Machine Learning
$66.81
- Paperback
304 pages
- Release Date
4 November 2024
Summary
This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender. The authors examine the many kinds of bias that occur in the field today and provide mitigation strategies that are ready to deploy across a wide range of technologies, applications, and industries.
Edited by engineering and computing experts, Mitigating Bias in Machine Learning includ…
Book Details
| ISBN-13: | 9781264922444 |
|---|---|
| ISBN-10: | 1264922442 |
| Author: | Carlotta A. Berry, Brandeis Hill Marshall |
| Publisher: | McGraw-Hill Education |
| Imprint: | McGraw-Hill Education |
| Format: | Paperback |
| Number of Pages: | 304 |
| Release Date: | 4 November 2024 |
| Weight: | 0g |
About The Author
Carlotta A. Berry
Carlotta A. Berry is a professor in the Department of Electrical and Computer Engineering at Rose-Hulman Institute of Technology, where she is also Dr. Lawrence J. Giacoletto Endowed Chair.
Brandeis Hill Marshall is founder and CEO of DataedX Group, a data ethics learning and development agency. She is a thought leader in broadening participating in data science and puts inclusivity and equity at the center of her work. She obtained her doctorate in Computer Science from Rensselaer Polytechnic Institute.
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