Description: Explainable Ai for Practitioners : Designing and Implementing Explainable Ml Solutions, Paperback by Munn, Michael; Pitman, David; Barnes, Parker, ISBN 1098119134, ISBN-13 9781098119133, Like New Used, Free shipping in the US Most intermediate-level machine learning books usually focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance and the need to be able to explain why and how your ML model makes the predictions that it does. This practical guide brings together the best-in-class techniques for model interpretability and explains model predictions in a hands-on approach. Experienced ML practitioners will be able to more easily apply these tools in their daily workflow.
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End Time: 2024-11-03T16:49:29.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Explainable Ai for Practitioners : Designing and Implementing Exp
Number of Pages: 276 Pages
Language: English
Publication Name: Explainable Ai for Practitioners : Designing and Implementing Explainable ML Solutions
Publisher: O'reilly Media, Incorporated
Item Height: 0.6 in
Publication Year: 2022
Subject: Intelligence (Ai) & Semantics, General, Computer Vision & Pattern Recognition
Item Weight: 10.7 Oz
Type: Textbook
Subject Area: Computers, Science
Author: David Pitman, Michael Munn
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback
