Hands-On Explainable AI (XAI) with Python: In… 9781800208131 by Rothman, Denis

Hands-On Explainable AI (XAI) with Python: In… 9781800208131 by Rothman, Denis

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Hands-On Explainable AI (XAI) with Python: In-depth Guide to Understanding and Implementing Transparent AI Models

In the world of artificial intelligence, the concept of explainability has become increasingly important. With the rise of complex deep learning models and algorithms, it is crucial for AI systems to be able to provide clear explanations for their decisions and predictions. This is where Explainable AI (XAI) comes in.

In his book “Hands-On Explainable AI (XAI) with Python”, author Denis Rothman takes readers on a comprehensive journey through the world of XAI, providing a detailed guide to understanding and implementing transparent AI models using Python.

Rothman starts by introducing the key concepts and principles of XAI, explaining why it is essential for building trust in AI systems. He then delves into various techniques and algorithms that can be used to make AI models more explainable, such as LIME, SHAP, and feature importance methods.

Throughout the book, Rothman provides hands-on examples and code snippets in Python, allowing readers to follow along and implement XAI techniques in their own projects. By the end of the book, readers will have a solid understanding of XAI and how to apply it to their AI models.

Whether you are a data scientist, AI researcher, or anyone interested in the field of artificial intelligence, “Hands-On Explainable AI (XAI) with Python” is a must-read for mastering the art of building transparent and trustworthy AI models.
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