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Explainable AI for Practitioners: Designing and Implementing Explainable ML Solutions

By: By: Publication details: Mumbai: Shroff Publishers & Distributors Pvt. Ltd., 2023Description: 259ISBN:
  • 9789355422439
Subject(s): DDC classification:
  • 006.31 MUN
Summary: Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance of understanding why and how your ML model makes the predictions that it does. Explainability methods provide an essential toolkit for better understanding model behavior, and this practical guide brings together best-in-class techniques for model explainability. Experienced machine learning engineers and data scientists will learn hands-on how these techniques work so that you'll be able to apply these tools more easily in your daily workflow.
List(s) this item appears in: New Arrivals for the Month of September - 2023
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Alliance College of Engineering and Design CSE & IT 006.31 MUN (Browse shelf(Opens below)) Checked out 06/01/2025 E12298
Total holds: 0

Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance of understanding why and how your ML model makes the predictions that it does.

Explainability methods provide an essential toolkit for better understanding model behavior, and this practical guide brings together best-in-class techniques for model explainability. Experienced machine learning engineers and data scientists will learn hands-on how these techniques work so that you'll be able to apply these tools more easily in your daily workflow.

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