Practical Explainable AI Using Python - Pradeepta Mishra eBook
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Practical Explainable AI Using Python

Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

Pradeepta Mishra

  • Apress

  • Publication date : 2021-12-14

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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 Python XAI libraries, TensorFlow 2.0+, Keras, and custom frameworks using Python wrappers.

You'll begin with an introduction to model explainability and interpretability basics, ethical consideration, and biases in predictions generated by AI models. Next, you'll look at methods and systems to interpret linear, non-linear, and time-series models used in AI. The book will also cover topics ranging from interpreting to understanding how an AI algorithm makes a decision

Further, you will learn the most complex ensemble models, explainability, and interpretability using frameworks such as Lime, SHAP, Skater, ELI5, etc. Moving forward, youwill be introduced to model explainability for unstructured data, classification problems, and natural language processing–related tasks. Additionally, the book looks at counterfactual explanations for AI models. Practical Explainable AI Using Python shines the light on deep learning models, rule-based expert systems, and computer vision tasks using various XAI frameworks.

What You'll Learn
  • Review the different ways of making an AI model interpretable and explainable
  • Examine the biasness and good ethical practices of AI models
  • Quantify, visualize, and estimate reliability of AI models
  • Design frameworks to unbox the black-box models
  • Assess the fairness of AI models
  • Understand the building blocks of trust in AI models
  • Increase the level of AI adoption

Who This Book Is For

AI engineers, data scientists, and software developers involved in driving AI projects/ AI products.


About the book
Author
Pradeepta  Mishra
Imprint
Apress
Collection
n.c
Publication date
2021-12-14
Pages
344 pages
Print ISBN
9781484271575
Language
English
Ebook informations
EAN PDF
9781484271582
Price
£54.99
Read more
Copy count 3
Print count 34
File size 16876 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9781484271582
Price
£54.99
Read more
Copy count 3
Print count 34
File size 25385 Ko
Ce livre est accessible aux handicaps   Informations accessibility
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Defaut-Illustration Pradeepta Mishra

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