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Federated AI for Real-World Business Scenarios, (Hardcover)
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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Detalles de producto
- 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 type | Instruction Manual |
| Book format | Hardcover |
| Edition | 1 |
| Pages | 206 |
| Language | English |
| Brand | Dinesh-C-Verma |
| Pub date | 20211001 |
| Author | CRC Press |
| Subgenre | Artificial Intelligence |
| Genre | Computing & Internet |
| Bisac subject heading | Computers |
| Series title | No Series |
| Dimensions | 6.14 x 0.56 x 9.21 in (15.6 x 1.4 x 23.4 cm) |
| Educational level | General |
| Age group | Adult |
| Retail packaging | Single Piece |
| Original languages | English |
Who Should Buy?
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Business Analysts
Analysts can leverage federated AI to enhance data privacy while deriving insights from decentralized data sources.
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AI Researchers
Researchers can explore state-of-the-art federated learning techniques and their applications in various real-world business contexts.
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Data Privacy Advocates
Advocates will find value in understanding federated AI, which prioritizes user privacy and compliance with data protection regulations.
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General Readers
Casual readers may find the technical content complex and not engaging without a background in AI or business.
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Small Businesses
Small companies with limited resources may not benefit immediately from the advanced federated AI concepts discussed in the book.
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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
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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.
Dinesh C Verma Machine Theory Books Editorial Review
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GTQ 1814
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características y beneficios
- Comprehensive guide to federated AI.
- Focus on real-world applications.
- Addresses challenges of dispersed data.
- Ideal for businesses seeking advanced AI solutions.
- Published by CRC Press, a trusted name.
- Hardcover format ensures durability and quality.