Federated AI for Real-World Business Scenarios, (Hardcover)
This book provides a holistic overview of all aspects of federated AI, enabling the creation of real-world applications across dispersed data locations.
Federated AI for Real-World Business Scenarios, (Hardcover)
Nº de artículo: 156446866

Federated AI for Real-World Business Scenarios, (Hardcover)

Nº de artículo: 156446866

GTQ 1814

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This book provides a holistic overview of all aspects of federated AI, enabling the creation of real-world applications across dispersed data locations.
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What Stands Out

Comprehensive Coverage
This book presents an in-depth exploration of federated AI, providing readers with practical insights and real-world applications specifically tailored for business scenarios, bridging the gap between theory and practice.
Expert Contributors
Written by leading experts in the field, this hardcover edition ensures high-quality content and authoritative perspectives, making it an invaluable resource for professionals seeking to understand federated AI.
Business Focused
Unlike general AI texts, this book focuses on business applications, helping organizations leverage federated learning to enhance collaboration and data privacy, addressing real-world challenges faced by enterprises.

Detalles de producto

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  • This book provides a holistic overview of all aspects of federated AI, which allows creation of real-world applications in contexts where data is dispersed in many different locations.
Manual & guide typeInstruction Manual
Book formatHardcover
Edition1
Pages206
LanguageEnglish
BrandDinesh-C-Verma
Pub date20211001
AuthorCRC Press
SubgenreArtificial Intelligence
GenreComputing & Internet
Bisac subject headingComputers
Series titleNo Series
Dimensions6.14 x 0.56 x 9.21 in (15.6 x 1.4 x 23.4 cm)
Educational levelGeneral
Age groupAdult
Retail packagingSingle Piece
Original languagesEnglish

Who Should Buy?

Suitable For
  • Business Analysts

    Analysts can leverage federated AI to enhance data privacy while deriving insights from decentralized data sources.

  • AI Researchers

    Researchers can explore state-of-the-art federated learning techniques and their applications in various real-world business contexts.

  • Data Privacy Advocates

    Advocates will find value in understanding federated AI, which prioritizes user privacy and compliance with data protection regulations.

Not Suitable For
  • General Readers

    Casual readers may find the technical content complex and not engaging without a background in AI or business.

  • Small Businesses

    Small companies with limited resources may not benefit immediately from the advanced federated AI concepts discussed in the book.

  • Technical Beginners

    Individuals new to AI concepts may struggle with the intricate details and advanced applications presented in this book.

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Preguntas y respuestas de los clientes

  • Pregunta: What is federated AI?

    Respuesta: Federated AI is a machine learning approach that enables models to be trained across multiple decentralized data sources without sharing the data itself.
  • Pregunta: Who is the author of the book?

    Respuesta: The book is published by CRC Press.
  • Pregunta: When was the book published?

    Respuesta: The book was published on October 1, 2021.

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