Mitigating Bias in Machine Learning
$142.08
- Paperback
304 pages
- Release Date
4 November 2024
Summary
Leveling the Field: A Practical Guide to Mitigating Bias in Machine Learning
This practical guide provides a step-by-step approach to using machine learning for actionable decisions that avoid discrimination based on human factors such as ethnicity and gender. Explore the various types of bias prevalent in the field and discover mitigation strategies ready for deployment across diverse technologies, applications, and industries.
Edited by engineering and computing experts, <…
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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