Explainable AI Using Python — Scriptorium Liberum

Practical Explainable AI Using Python: A

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

✍ Pradeepta Mishra 📂 Library 📅 2022 🏛 Apress 🌐 English

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

Practical Explainable AI Using Python: A

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

✍ Pradeepta Mishra 📂 Library 📅 2022 🏛 Apress 🌐 English

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

Practical Explainable AI Using Python: A

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

✍ Pradeepta Mishra 📂 Library 📅 2022 🏛 Apress 🌐 English

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

Explainable AI with Python

📁 Explainable AI with Python

✍ Leonida Gianfagn, Antonio Di Cecco 📂 Library 📅 2021 🏛 Springer 🌐 English

Explainable AI Recipes: Implement Soluti

📁 Explainable AI Recipes: Implement Solutions to Model Explainability and Interpretability with Python

✍ Pradeepta Mishra 📂 Library 📅 2023 🏛 Apress 🌐 English

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 in

Hands-On Explainable AI (XAI) with Pytho

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

✍ Denis Rothman 📂 Library 📅 2020 🏛 Packt Publishing - ebooks Account 🌐 English

<p><b>Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the basic principles and tools to deploy Explainable AI (XAI) into your apps and reporting interfaces.</b></p><h4>Key Features</h4><ul><li>Learn explainable AI tools and t