Can I read Interpretable AI : Building Explainable Machine Learning Systems on EtoBox?

Interpretable AI : Building Explainable Machine Learning Systems by Ajay Thampi is a nonfiction available to read on EtoBox.

What is Interpretable AI : Building Explainable Machine Learning Systems about?

Interpretable AI is a hands-on guide to interpretability techniques that open up the black box of AI. AI models can become so complex that even experts have difficulty understanding them—and forget about explaining the nuances of a cluster of novel algorithms to a business stakeholder! Interpretable AI is filled with cutting-edge techniques that will improve your understanding of how your AI models function. Interpretable AI is a hands-on guide to interpretability techniques that open up the black box of AI. This practical guide simplifies cutting-edge research into transparent and explainable AI, delivering practical methods you can easily implement with Python and open source libraries. With examples from all major machine learning approaches, this book demonstrates why some approaches to AI are so opaque, teaches you to identify the patterns your model has learned, and presents best practices for building fair and unbiased models. In Interpretable AI, you will learn:• Why AI models are hard to interpret• Interpreting white box models such as linear regression, decision trees, and generalized additive models• Partial dependence plots, LIME, SHAP and Anchors, and other techniques

Who reads Interpretable AI : Building Explainable Machine Learning Systems?

Author

Ajay Thampi

Publisher

Manning Publications Co. LLC

Published

2022

Language

EN

ISBN

9781617297649

Category

nonfiction

Subjects

Science, Language Learning, Computer Science