Mishra, Pradeepta

Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

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ISBN 13:
9781484271575
author:
Mishra, Pradeepta
format:
Paperback / softback
publisher:
APress
language:
English
Publication Year:
2021
Pages:
344
Dimensions:
25.4 x 17.8 x 1.9 centimeters (0
Genre:
Computers, Programming, Python,
Condition:
New
Availability:
Item usually sent within 20 working days
£46.83

Description

Practical Explainable AI Using Python explores how to make sense of predictions made by artificial intelligence algorithms. This book delves into the world of black-box models, aiming to boost their adaptability, interpretability and explainability.

You'll learn about model explainability and interpretability basics, as well as methods for interpreting linear, non-linear and time-series models used in AI. The book also covers complex ensemble models, explainability and interpretability using frameworks such as Lime, SHAP, Skater, ELI5, and more.

Practical Explainable AI Using Python shines a light on deep learning models, rule-based expert systems, and computer vision tasks using various XAI frameworks. This book is ideal for those looking to understand how AI algorithms make decisions and improve their reliability.

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