Librería: Goodbooks Company, Springdale, AR, Estados Unidos de America
EUR 40,25
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: good. Has a sturdy binding with some shelf wear. May have some markings or highlighting. Used copies may not include access codes or Cd's. Slight bending may be present.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 49,25
Cantidad disponible: 19 disponibles
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Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
EUR 48,06
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
EUR 53,17
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Añadir al carritoPaperback. Condición: New. 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 51,85
Cantidad disponible: 19 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 58,49
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Añadir al carritoCondición: New.
EUR 65,37
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New. 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 50,82
Cantidad disponible: 19 disponibles
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 58,38
Cantidad disponible: 19 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2023
ISBN 10: 1098119134 ISBN 13: 9781098119133
Librería: Revaluation Books, Exeter, Reino Unido
EUR 76,84
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 350 pages. 9.19x7.00x0.80 inches. In Stock.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 84,10
Cantidad disponible: 3 disponibles
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 55,33
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New. 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.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 96,34
Cantidad disponible: 3 disponibles
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Librería: moluna, Greven, Alemania
EUR 59,94
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Añadir al carritoCondición: New. Über den AutorMichael Munn is a research software engineer at Google. His work focuses on better understanding the mathematical foundations of machine learning and how those insights can be used to improve machine learning models at.
EUR 61,11
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New. 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.