April 2023
Intermediate to advanced
198 pages
6h 31m
English
Series Editors:
Aditya Khamparia and Deepak Gupta
Explainable AI (XAI) has developed as a subfield of artificial intelligence, focusing on exposing complex AI models to humans in a systematic and interpretable manner. This area explores and discusses the steps and models involved in making intelligent decisions. This series will also cover the working behavior and explain the ability of powerful algorithms such as neural networks, ensemble methods including random forests, and other similar algorithms to sacrifice transparency and explainability for power, performance, and accuracy in different engineering applications related to the real world. Aimed at graduate students, academic researchers, ...