Practical explainable AI using Python : artificial intelligence model explanations using Python-based libraries, extensions, and frameworks
Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as...
Saved in:
Main Author: | |
---|---|
Format: | eBook |
Language: | English |
Published: |
Berkeley, CA :
Apress L.P.,
2022.
|
Subjects: | |
ISBN: | 9781484271582 1484271580 1484271572 9781484271575 |
Physical Description: | 1 online resource (356 pages) |
Online Access:
Online Resources