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Hands-On Explainable AI (XAI) with Python

You're reading from Hands-On Explainable AI (XAI) with Python Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781800208131

Length 454 pages

Edition 1st Edition

Languages

Python

Concepts

Artificial Intelligence

Author (1):

Denis Rothman

View More author details

Table of Contents (16) Chapters

Preface

1. Explaining Artificial Intelligence with Python

2. White Box XAI for AI Bias and Ethics FREE CHAPTER

3. Explaining Machine Learning with Facets

4. Microsoft Azure Machine Learning Model Interpretability with SHAP

5. Building an Explainable AI Solution from Scratch

6. AI Fairness with Google's What-If Tool (WIT)

7. A Python Client for Explainable AI Chatbots

8. Local Interpretable Model-Agnostic Explanations (LIME)

9. The Counterfactual Explanations Method

10. Contrastive XAI

11. Anchors XAI

12. Cognitive XAI

13. Answers to the Questions

14. Other Books You May Enjoy

15. Index

Chapter 12, Cognitive XAI

SHapley Additive exPlanations (SHAP) compute the marginal contribution of each feature with a SHAP value. (True|False)
True.
Google's What-If Tool can display SHAP values as counterfactual data points. (True|False)
True.
Counterfactual explanations include showing the distance between two data points. (True|False)
True.
The contrastive explanations method (CEM) has an interesting way of interpreting the absence of a feature in a prediction. (True|False)
True.
Local Interpretable Model-agnostic Explanations (LIME) interpret the vicinity of a prediction. (True|False)
True.
Anchors show the connection between features that can occur in positive and negative predictions. (True|False)
True.
Tools such as Google Location History can provide additional information to explain the output of a machine learning model. (True|False...

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Authors (1)

Denis Rothman

Denis Rothman

Expert in AI Transformers including ChatGPT/GPT-4, Bestselling Author

See other products by Denis Rothman

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