Explainable ai for practitioners

Rubriek: Textual/Printed/Reference Materials - Boek

Prijs: € 71.99

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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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Taal: en

Bindwijze: Paperback

Oorspronkelijke releasedatum: 11 november 2022

Aantal pagina's: 250

Hoofdauteur: Michael Munn

Tweede Auteur: David Pitman

Hoofduitgeverij: O'Reilly Media

Studieboek: Nee

Verpakking breedte: 178 mm

Verpakking hoogte: 233 mm

Verpakking lengte: 233 mm

EAN: 9781098119133

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