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Practical Fairness: Achieving Fair and Secure Data Models, Nielsen Aileen


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Цена: 7126.00р.
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Автор: Nielsen Aileen
Название:  Practical Fairness: Achieving Fair and Secure Data Models
ISBN: 9781492075738
Издательство: Wiley
Классификация:
ISBN-10: 1492075736
Обложка/Формат: Paperback
Страницы: 175
Вес: 0.57 кг.
Дата издания: 13.10.2020
Язык: English
Размер: 229 x 178 x 20
Читательская аудитория: Professional & vocational
Подзаголовок: Achieving fair and secure data models
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Fairness is becoming a paramount consideration for data scientists. This practical book covers basic concerns related to data security and privacy to help data and AI professionals use code that`s fair and free of bias.


Trust and Fairness in Open, Distributed Systems

Автор: Adam Wierzbicki
Название: Trust and Fairness in Open, Distributed Systems
ISBN: 3642425143 ISBN-13(EAN): 9783642425141
Издательство: Springer
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Цена: 19589.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This major contribution to the development of social informatics shows how information systems can realize social goals, use social concepts, or become sources of information about social phenomena. All of these research directions are present in this book.

A Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for Nlp

Автор: Gomez-Perez Jose Manuel, Denaux Ronald, Garcia-Silva Andres
Название: A Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for Nlp
ISBN: 3030448290 ISBN-13(EAN): 9783030448295
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book provides readers with a practical guide to the principles of hybrid approaches to natural language processing (NLP) involving a combination of neural methods and knowledge graphs.

Privacy and Identity Management. Fairness, Accountability, a

Название: Privacy and Identity Management. Fairness, Accountability, a
ISBN: 3030167437 ISBN-13(EAN): 9783030167431
Издательство: Springer
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Цена: 10901.00 р.
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Описание: This book contains selected papers presented at the 13th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held in Vienna, Austria, in August 2018. The 10 full papers included in this volume were carefully reviewed and selected from 27 submissions.

Advances in Bias and Fairness in Information Retrieval

Автор: Boratto
Название: Advances in Bias and Fairness in Information Retrieval
ISBN: 3031093151 ISBN-13(EAN): 9783031093159
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book constitutes refereed proceedings of the Third International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2022, held in April, 2022. The 9 full papers and 4 short papers were carefully reviewed and selected from 34 submissions. The papers cover topics that go from search and recommendation in online dating, education, and social media, over the impact of gender bias in word embeddings, to tools that allow to explore bias and fairnesson the Web.

Interactions in multiagent systems: fairness, social optimality and individual rationality

Автор: Leung, Ho-fung Hao, Jianye
Название: Interactions in multiagent systems: fairness, social optimality and individual rationality
ISBN: 366249468X ISBN-13(EAN): 9783662494684
Издательство: Springer
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Цена: 16979.00 р.
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Описание: Thisbook mainly aims at solving the problems in both cooperative and competitivemulti-agent systems (MASs), exploring aspects such as how agents caneffectively learn to achieve the shared optimal solution based on their localinformation and how they can learn to increase their individual utility byexploiting the weakness of their opponents.

Trust and Fairness in Open, Distributed Systems

Автор: Adam Wierzbicki
Название: Trust and Fairness in Open, Distributed Systems
ISBN: 3642134505 ISBN-13(EAN): 9783642134500
Издательство: Springer
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Цена: 22203.00 р.
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Описание: This major contribution to the development of social informatics shows how information systems can realize social goals, use social concepts, or become sources of information about social phenomena. All of these research directions are present in this book.

Practical Mlops: Operationalizing Machine Learning Models

Автор: Gift Noah, Deza Alfredo
Название: Practical Mlops: Operationalizing Machine Learning Models
ISBN: 1098103017 ISBN-13(EAN): 9781098103019
Издательство: Wiley
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Цена: 7650.00 р.
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Описание: MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.

Hands-On Deep Learning with R: A practical guide to designing, building, and improving neural network models using R

Автор: Pawlus Michael, Devine Rodger
Название: Hands-On Deep Learning with R: A practical guide to designing, building, and improving neural network models using R
ISBN: 1788996836 ISBN-13(EAN): 9781788996839
Издательство: Неизвестно
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Цена: 8091.00 р.
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Описание: Deep learning enables efficient and accurate learning from data. Developers working with R will be able to put their knowledge to work with this practical guide to deep learning. The book provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time.


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