Mitigating Bias in Machine Learning is popular PDF and ePub book, written by Carlotta A. Berry in 2024-10-18, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Mitigating Bias in Machine Learning can be Read Online from any device for your convenience.
Mitigating Bias in Machine Learning Book PDF 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 includes contributions from recognized scholars and professionals working across different artificial intelligence sectors. Each chapter addresses a different topic and real-world case studies are featured throughout that highlight discriminatory machine learning practices and clearly show how they were reduced. Mitigating Bias in Machine Learning addresses: Ethical and Societal Implications of Machine Learning Social Media and Health Information Dissemination Comparative Case Study of Fairness Toolkits Bias Mitigation in Hate Speech Detection Unintended Systematic Biases in Natural Language Processing Combating Bias in Large Language Models Recognizing Bias in Medical Machine Learning and AI Models Machine Learning Bias in Healthcare Achieving Systemic Equity in Socioecological Systems Community Engagement for Machine Learning
Detail Book of Mitigating Bias in Machine Learning PDF
- Author : Carlotta A. Berry
- Release : 18 October 2024
- Publisher : McGraw Hill Professional
- ISBN : 9781264922710
- Genre : Technology & Engineering
- Total Page : 249 pages
- Language : English
- PDF File Size : 20,5 Mb
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