Data protection wake machine (5 risultati)
- Rilegato
Da: Books From California, Simi Valley, CA, U.S.A.Books From California
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Molto buono
EUR 192,88
EUR 4,31 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
hardcover. Condizione: Very Good. Some minimal external wear. Otherwise, very clean, tight, and unmarked. A very good copy! Pages are clean, text and pictures are intact and unmarred.
- Brossura
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 202,85
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Data Protection | The Wake of AI and Machine Learning | Chaminda Hewage (u. a.) | Taschenbuch | Englisch | 2025 | Springer | EAN 9783031764752 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com |… Anbieter: preigu.
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 235,39
EUR 62,47 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a thorough and unique overview of the challenges, opportunities and solutions related with data protection in the age of AI and ML technologies. It investigates the interface of data protection and new technologies, emphasising…the growing need to safeguard personal and confidential data from unauthorised access and change. Theauthors emphasizethe crucial need of strong data protection regulations, focusing on the consequences of AI and ML breakthroughs for privacy and individual rights.Thisbook emphasizesthe multifarious aspect of data protection, which goes beyond technological solutions to include ethical, legislative and societal factors.This book explores into the complexity of data protection in the age ofAI andML.It investigates how massive volumes of personal and sensitive data are utilized to train and develop AI models, demanding novel privacy-preserving strategiessuch asanonymization, differential privacy and federated learning. The duties and responsibilities of engineers, policy makers and ethicists in minimizing algorithmic bias and ensuring ethical AI use are carefully defined. Key developments, such as the influence of the European Union's General Data Protection Regulation (GDPR) and the EU AI Act on data protection procedures, are reviewed critically. This investigation focusses not only on the tactics used, but also on the problems and successes in creating a secure and ethical AI ecosystem. This book provides a comprehensive overview of the efforts to integrate data protection into AI innovation, including valuable perspectives on the effectiveness of these measures and the ongoing adjustments required to address the fluid nature of privacy concerns.This bookis a helpfulresourcefor upper-undergraduate and graduate computer science students, as well as others interested in cybersecurity and data protection. Researchers in AI, ML, and data privacy as well as data protection officers, politicians, lawmakers and decision-makers will find this book useful as a reference.
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 235,39
EUR 63,26 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a thorough and unique overview of the challenges, opportunities and solutions related with data protection in the age of AI and ML technologies. It investigates the interface of data protection and new technologies, emphasising the gro…wing need to safeguard personal and confidential data from unauthorised access and change. Theauthors emphasizethe crucial need of strong data protection regulations, focusing on the consequences of AI and ML breakthroughs for privacy and individual rights.Thisbook emphasizesthe multifarious aspect of data protection, which goes beyond technological solutions to include ethical, legislative and societal factors.This book explores into the complexity of data protection in the age ofAI andML.It investigates how massive volumes of personal and sensitive data are utilized to train and develop AI models, demanding novel privacy-preserving strategiessuch asanonymization, differential privacy and federated learning. The duties and responsibilities of engineers, policy makers and ethicists in minimizing algorithmic bias and ensuring ethical AI use are carefully defined. Key developments, such as the influence of the European Union's General Data Protection Regulation (GDPR) and the EU AI Act on data protection procedures, are reviewed critically. This investigation focusses not only on the tactics used, but also on the problems and successes in creating a secure and ethical AI ecosystem. This book provides a comprehensive overview of the efforts to integrate data protection into AI innovation, including valuable perspectives on the effectiveness of these measures and the ongoing adjustments required to address the fluid nature of privacy concerns.This bookis a helpfulresourcefor upper-undergraduate and graduate computer science students, as well as others interested in cybersecurity and data protection. Researchers in AI, ML, and data privacy as well as data protection officers, politicians, lawmakers and decision-makers will find this book useful as a reference.
Data Protection: The Wake of Ai and Machine Learning
Hewage, Chaminda (Editor)/ Yasakethu, Lasith (Editor)/ Jayakody, Dushmantha Nalin K. (Editor)
- Rilegato
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 341,85
EUR 14,57 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardcover. Condizione: Brand New. 321 pages. 9.25x6.10x9.21 inches. In Stock.
