Introduction to Responsible AI (PDF)
The book starts with an introduction to the fundamentals of AI, with special emphasis...
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
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.
You will:
- Understand the principles of responsible AI and their importance in today's digital world
- Master techniques to detect and mitigate bias in AI
- Explore methods and tools for achieving transparency and explainability
- Discover best practices for privacy preservation and security in AI
- Gain insights into designing robust and reliable AI models
He is the author of Learn Tensorflow 2.0 and Introduction to Prescriptive AI, both with Apress.
Avinash holds a bachelor's degree in Electronics Engineering from Mumbai University and earned his Masters in Business Administration (Marketing) from the University of Pune. He resides in Bangalore with his wife and child. He enjoys travelling to new places and reading motivational books.
Shaleen is a machine learning engineer with 4+ years of experience in building, deploying, and managing cutting-edge machine learning solutions across varied industries. He has developed several frameworks and platforms that have significantly streamlined processes and improved efficiency of machine learning teams.
Shaleen Bengani has authored the book Operationalizing Machine Learning Pipelines as well as three research papers in the deep learning space.
He holds a bachelors degree in Computer Science and Engineering from BITS Pilani, Dubai Campus, where he was awarded the Director's Medal for outstanding all-around performance. In his leisure time, he likes playing table tennis and reading.
Saravanan S is an AI engineer with more than six years of experience in data science and data engineering. He has developed robust data pipelines for developing and deploying advanced machine learning models, genratinginsightful reports, and
Saravanan earned a masters degree in statistics from Loyola College from Chennai. In his spare time he likes traveling, reading books and playing games.
- Autoren: Avinash Manure , Shaleen Bengani , Saravanan S
- 2023, 1st ed, 184 Seiten, Englisch
- Verlag: APress
- ISBN-10: 1484299825
- ISBN-13: 9781484299821
- Erscheinungsdatum: 22.11.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 2.79 MB
- Ohne Kopierschutz
- Vorlesefunktion
Schreiben Sie einen Kommentar zu "Introduction to Responsible AI".
Kommentar verfassen