Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks - Image 1

£41.59

It has never been this cheap. We have no record of a lower price.

£42 today · cheaper than every other day in the last 3 months

Apress Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

Name: Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks
Brand: Apress
Price: 41.59 GBP
Availability: InStock

AI & Machine Learning

Price Distribution

Price distribution over 72 days • 1 price levels

Days at Price

Price Analysis

Most common price: £42 (72 days, 100.0%)

Price range: £42 - £42

Price levels: 1 different prices over 72 days

Description

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.

Product Specifications

Brand: Apress
Format: paperback
ASIN: 1484271572
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 15 December 2021
Listed Since: 10 September 2021

Barcode

No barcode data available

It has never been this cheap. We have no record of a lower price.

Apress Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps

Unveiling the Black Box: Practical Deep Learning and Explainable AI

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning

Responsible AI: Implementing Ethical and Unbiased Algorithms

Explainable AI for Transparent and Trustworthy Medical Decision Support

Explainable AI in Clinical Practice: Advanced Applications and Future Directions

Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x, 2nd Edition

Die Black Box enthüllen: Praktisches Deep Learning und erklärbare KI

Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python

Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#

Python Deep Learning: Next generation techniques to revolutionize computer vision, AI, speech and data analysis

Intermediate Python and Large Language Models

Explainable AI Applications for Human Behavior Analysis

Explainable Artificial Intelligence (XAI): Concepts, enabling tools, technologies and applications (Computing and Networks)

Explainable Artificial Intelligence and Solar Energy Integration

From Model to Product: Foundations for Practical AI Engineering

Decoding AI: Practical Implementations for Business Operations

Python Machine Learning By Example: The easiest way to get into machine learning

Machine Learning Made Visual with Python

Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples

AI-Powered Ecommerce: How Machine Learning Is Transforming Online Shopping

Machine Learning for Credit Risk with Python: A Practical Guide to Default Prediction, Credit Scoring, Model Explainability, and Portfolio Risk Analysis

Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

Practical AI for Business Leaders, Product Managers, and Entrepreneurs: The Big Data Implementation Handbook

It has never been this cheap. We have no record of a lower price.

Apress Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps

Unveiling the Black Box: Practical Deep Learning and Explainable AI

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning

Responsible AI: Implementing Ethical and Unbiased Algorithms

Explainable AI for Transparent and Trustworthy Medical Decision Support

Explainable AI in Clinical Practice: Advanced Applications and Future Directions

Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x, 2nd Edition

Die Black Box enthüllen: Praktisches Deep Learning und erklärbare KI

Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python

Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#

Python Deep Learning: Next generation techniques to revolutionize computer vision, AI, speech and data analysis

Intermediate Python and Large Language Models

Explainable AI Applications for Human Behavior Analysis

Explainable Artificial Intelligence (XAI): Concepts, enabling tools, technologies and applications (Computing and Networks)

Explainable Artificial Intelligence and Solar Energy Integration

From Model to Product: Foundations for Practical AI Engineering

Decoding AI: Practical Implementations for Business Operations

Python Machine Learning By Example: The easiest way to get into machine learning

Machine Learning Made Visual with Python

Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples

AI-Powered Ecommerce: How Machine Learning Is Transforming Online Shopping

Machine Learning for Credit Risk with Python: A Practical Guide to Default Prediction, Credit Scoring, Model Explainability, and Portfolio Risk Analysis

Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

Practical AI for Business Leaders, Product Managers, and Entrepreneurs: The Big Data Implementation Handbook