Name: Introduction to Responsible AI: Implement Ethical AI Using Python (en Inglés)
SKU: 56893452
Price: 51.31 USD
Availability: InStock
Author: Manure, Avinash ; Bengani, Shaleen ; S, Saravanan
ISBN: 9781484299814

portada Introduction to Responsible AI: Implement Ethical AI Using Python (en Inglés)

Introduction to Responsible AI: Implement Ethical AI Using Python (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

184

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x1.1 cm

Peso

0.28 kg.

ISBN13

9781484299814

Categorías

Probabilidad y estadística
Lenguajes de programación y extensión/scripting: general
Inteligencia artificial

Introduction to Responsible AI: Implement Ethical AI Using Python (en Inglés)

Shaleen Bengani (Autor) · Saravanan S (Autor) · Avinash Manure (Autor) · Apress · Tapa Blanda

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Reseña del libro "Introduction to Responsible AI: Implement Ethical AI Using Python (en Inglés)"

Learn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence. The book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, you'll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios. The book concludes with a chapter devoted to fostering a deeper understanding of responsible AI's profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions. What You Will Learn Understand the principles of responsible AI and their importance in today's digital worldMaster techniques to detect and mitigate bias in AIExplore methods and tools for achieving transparency and explainabilityDiscover best practices for privacy preservation and security in AIGain insights into designing robust and reliable AI models Who This Book Is For AI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AI