{"product_id":"interpretability-and-explainability-in-ai-using-python-decrypt-ai-decision-making-using-interpretability-and-explainability-with-python-to-build-reli-9789348107572","title":"Interpretability and Explainability in AI Using Python: Decrypt AI Decision-Making Using Interpretability and Explainability with Python to Build Reli","description":"\u003cp\u003e • Author(s): Orange Ava | Aruna Chakkirala\u003cbr\u003e • Publisher: Orange Education Pvt Ltd\u003cbr\u003e • Publisher Imprint: Orange Education Pvt Ltd\u003cbr\u003e • BISAC: Data Science - Neural Networks\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eDemystify AI Decisions and Master Interpretability and Explainability Today\u003c\/i\u003e\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eBook Description\u003c\/b\u003e\u003cbr\u003eInterpretability in AI\/ML refers to the ability to understand and explain how a model arrives at its predictions. It ensures that humans can follow the model's reasoning, making it easier to debug, validate, and trust. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eInterpretability and Explainability in AI Using Python\u003c\/b\u003e takes you on a structured journey through interpretability and explainability techniques for both white-box and black-box models. \u003cp\u003e\u003c\/p\u003eYou'll start with foundational concepts in interpretable machine learning, exploring different model types and their transparency levels. As you progress, you'll dive into post-hoc methods, feature effect analysis, anchors, and counterfactuals-powerful tools to decode complex models. The book also covers explainability in deep learning, including Neural Networks, Transformers, and Large Language Models (LLMs), equipping you with strategies to uncover decision-making patterns in AI systems. \u003cp\u003e\u003c\/p\u003eThrough hands-on Python examples, you'll learn how to apply these techniques in real-world scenarios. By the end, you'll be well-versed in choosing the right interpretability methods, implementing them efficiently, and ensuring AI models align with ethical and regulatory standards-giving you a competitive edge in the evolving AI landscape. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Interpreting Interpretable Machine Learning\u003cbr\u003e2. Model Types and Interpretability Techniques\u003cbr\u003e3. Interpretability Taxonomy and Techniques\u003cbr\u003e4. Feature Effects Analysis with Plots\u003cbr\u003e5. Post-Hoc Methods\u003cbr\u003e6. Anchors and Counterfactuals\u003cbr\u003e7. Interpretability in Neural Networks\u003cbr\u003e8. Explainable Neural Networks\u003cbr\u003e9. Explainability in Transformers and Large Language Models\u003cbr\u003e10. Explainability and Responsible AI\u003cbr\u003e \u003cb\u003eIndex\u003c\/b\u003e","brand":"Orange Education Pvt Ltd","offers":[{"title":"Paperback","offer_id":48222985846935,"sku":"9789348107572","price":4092.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9789348107572.webp?v=1788758853","url":"https:\/\/atlanticbooks.com\/products\/interpretability-and-explainability-in-ai-using-python-decrypt-ai-decision-making-using-interpretability-and-explainability-with-python-to-build-reli-9789348107572","provider":"Atlantic Books","version":"1.0","type":"link"}