Hands-on explainable AI (XAI) with Python :: interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps /

In today's era of AI, accurately interpreting and communicating trustworthy, fair, and secure AI findings have become a crucial skill to master. This book bridges the gap between AI's pitfalls and potential by helping you build the ability to leverage machine learning with Python to visual...

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Bibliographische Detailangaben
1. Verfasser: Rothman, Denis (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Birmingham, UK : Packt Publishing, 2020.
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Online-Zugang:Volltext
Zusammenfassung:In today's era of AI, accurately interpreting and communicating trustworthy, fair, and secure AI findings have become a crucial skill to master. This book bridges the gap between AI's pitfalls and potential by helping you build the ability to leverage machine learning with Python to visualize and integrate AI.
Beschreibung:1 online resource (1 volume) : illustrations
Bibliographie:Includes bibliographical references and index.
ISBN:9781800202764
1800202768

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