Description: Title: Explainable AI Recipes: Implement Solutions to Model Explainability and Interpretability with Python Author: Mishra, Pradeepta Publisher: Apress Binding: Paperback Pages: 254 Dimensions: 9.21h x 6.14w x 0.59d Product Weight: 0.87 lbs. Language: English ISBN: 9781484290286 Understand how to use Explainable AI (XAI) libraries and build trust in AI and machine learning models. This book utilizes a problem-solution approach to explaining machine learning models and their algorithms. The book starts with model interpretation for supervised learning linear models, which includes feature importance, partial dependency analysis, and influential data point analysis for both classification and regression models. Next, it explains supervised learning using non-linear models and state-of-the-art frameworks such as SHAP values/scores and LIME for local interpretation. Explainability for time series models is covered using LIME and SHAP, as are natural language processing-related tasks such as text classification, and sentiment analysis with ELI5, and ALIBI. The book concludes with complex model classification and regression-like neural networks and deep learning models using the CAPTUM framework that shows feature attribution, neuron attribution, and activation attribution. After reading this book, you will understand AI and machine learning models and be able to put that knowledge into practice to bring more accuracy and transparency to your analyses. What You Will LearnCreate code snippets and explain machine learning models using PythonLeverage deep learning models using the latest code with agile implementationsBuild, train, and explain neural network models designed to scaleUnderstand the different variants of neural network models Who This Book Is ForAI engineers, data scientists, and software developers interested in XAI Ships Fast From The USA! Authorized Dealer
Price: 34.99 USD
Location: Tennessee
End Time: 2024-11-16T00:19:38.000Z
Shipping Cost: 9.95 USD
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Book Title: Apress
Number of Pages: Xxiv, 254 Pages
Publication Name: Explainable AI Recipes : Implement Solutions to Model Explainability and Interpretability with Python
Language: English
Publisher: Apress L. P.
Subject: Intelligence (Ai) & Semantics, General, Programming Languages / Python
Publication Year: 2023
Item Weight: 15.3 Oz
Type: Textbook
Subject Area: Computers, Science
Item Length: 9.3 in
Author: Pradeepta Mishra
Item Width: 6.1 in
Format: Trade Paperback
