Practical Fairness
Fairness in Educational Assessment and Measurement eBooks & eLearning
Posted by roxul at July 11, 2018
Neil J. Dorans, "Fairness in Educational Assessment and Measurement"
English | ISBN: 1138026190, 1138026182 | 2016 | 328 pages | PDF | 2 MB
English | ISBN: 1138026190, 1138026182 | 2016 | 328 pages | PDF | 2 MB
AI Fairness: Designing Equal Opportunity Algorithms eBooks & eLearning
Posted by Free butterfly at May 18, 2025
AI Fairness: Designing Equal Opportunity Algorithms by Derek Leben
English | May 13, 2025 | ISBN: 0262552361 | 240 pages | PDF | 8.65 Mb
English | May 13, 2025 | ISBN: 0262552361 | 240 pages | PDF | 8.65 Mb
Procedural Justice in the United Nations Framework Convention on Climate Change: Negotiating Fairness eBooks & eLearning
Posted by roxul at Jan. 28, 2020
Luke Tomlinson, "Procedural Justice in the United Nations Framework Convention on Climate Change: Negotiating Fairness"
English | ISBN: 3319171836 | 2015 | 201 pages | EPUB, PDF | 780 KB + 2 MB
English | ISBN: 3319171836 | 2015 | 201 pages | EPUB, PDF | 780 KB + 2 MB
LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems eBooks & eLearning
Posted by naag at May 30, 2025
LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems
English | May 30, 2025 | ASIN: B0F9GGJC5P | 760 pages | EPUB (True) | 6.29 MB
English | May 30, 2025 | ASIN: B0F9GGJC5P | 760 pages | EPUB (True) | 6.29 MB
Building Responsible AI Algorithms: A Framework for Transparency, Fairness, Safety, Privacy, and Robustness eBooks & eLearning
Posted by Free butterfly at Jan. 23, 2024
Building Responsible AI Algorithms: A Framework for Transparency, Fairness, Safety, Privacy, and Robustness by Toju Duke
English | August 17, 2023 | ISBN: 1484293053 | 208 pages | MOBI | 0.76 Mb
English | August 17, 2023 | ISBN: 1484293053 | 208 pages | MOBI | 0.76 Mb
Reasonableness and Fairness: A Historical Theory eBooks & eLearning
Posted by arundhati at Sept. 23, 2017
Christopher McMahon, "Reasonableness and Fairness: A Historical Theory"
2016 | ISBN-10: 1107177170 | 264 pages | PDF | 1 MB
2016 | ISBN-10: 1107177170 | 264 pages | PDF | 1 MB
«Still Failing at Fairness: How Gender Bias Cheats Girls and Boys in School and What We Can Do About It» by David Sadker eBooks & eLearning
Posted by Gelsomino at Jan. 3, 2020
«Still Failing at Fairness: How Gender Bias Cheats Girls and Boys in School and What We Can Do About It» by David Sadker,Karen R. Zittleman
English | ISBN: 9781439159439 | EPUB | 0.5 MB
English | ISBN: 9781439159439 | EPUB | 0.5 MB
Practical AI Ethics: Integrating Ethical Principles into Machine Learning Projects eBooks & eLearning
Posted by naag at Oct. 25, 2024
Practical AI Ethics: Integrating Ethical Principles into Machine Learning Projects
English | 2024 | ISBN: B0D2N5YHXC | Pages: 353 | EPUB (True) | 462.15 KB
English | 2024 | ISBN: B0D2N5YHXC | Pages: 353 | EPUB (True) | 462.15 KB
Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality eBooks & eLearning
Posted by Jeembo at Nov. 26, 2017
Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality by Jianye Hao, Ho-fung Leung
English | 2016 | ISBN: 366249468X | 178 Pages | PDF | 10.6 MB
English | 2016 | ISBN: 366249468X | 178 Pages | PDF | 10.6 MB
This book mainly aims at solving the problems in both cooperative and competitive multi-agent systems (MASs), exploring aspects such as how agents can effectively learn to achieve the shared optimal solution based on their local information and how they can learn to increase their individual utility by exploiting the weakness of their opponents.
Responsible Data Science: Transparency and Fairness in Algorithms eBooks & eLearning
Posted by First1 at April 30, 2021
Responsible Data Science: Transparency and Fairness in Algorithms by Grant Fleming, Peter C. Bruce
English | May 11th, 2021 | ISBN: 1119741750 | 282 pages | True EPUB | 24.36 MB
English | May 11th, 2021 | ISBN: 1119741750 | 282 pages | True EPUB | 24.36 MB
Explore the most serious prevalent ethical issues in data science with this insightful new resource