Ensemble Methods for Machine Learning

Kunapuli, Gautam

ISBN 10: 1617297135 ISBN 13: 9781617297137

Editorial: Manning, 2023

Idioma: Ingl�s

Condici�n: Nuevo Encuadernaci�n de tapa blanda

Guardar para m�s tarde

Vendido por Books Puddle, New York, NY, Estados Unidos de America

Vendedor de AbeBooks desde 22 de noviembre de 2018

Calificaci�n del vendedor: 4 de 5 estrellas

Ver los art�culos de este vendedor

Ver todos los ejemplares de este libro

Nuevos - Encuadernaci�n de tapa blanda

Condici�n: Nuevo

Precio: EUR 72,63 Convertir moneda

EUR 3,42 gastos de env�o en Estados Unidos de America Destinos, gastos y plazos de env�o

Cantidad disponible: 3 disponibles

A�adir al carrito

Guardar para m�s tarde

Descripci�n

N� de ref. del art�culo 26389256185

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo

Ensemble Methods for Machine Learning

Editor

Manning

Fecha de publicaci�n

2023

Idioma

Ingl�s

ISBN 10

1617297135

ISBN 13

9781617297137

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

New

Cat�logos de vendedores

Acerca de

Sinopsis

Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real world applications. Learning from hands-on case studies, you'll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models.
About the Technology Ensemble machine learning lets you make robust predictions without needing the huge datasets and processing power demanded by deep learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results.

Acerca del autor

Gautam Kunapuli has over 15 years of experience in academia and the machine learning industry. He has developed several novel algorithms for diverse application domains including social network analysis, text and natural language processing, behaviour mining, educational data mining and biomedical applications. He has also published papers exploring ensemble methods in relational domains and with imbalanced data.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

I mainly carry imported books from South East Asia / South Asia for readers of all Age Groups.

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

PLETOS INC
6931 51st Avenue, WOODSIDE, Woodside, NY, 11377, U.S.A.

Condiciones de venta y env�o

Condiciones de venta

We accept return for those books which are received damamged. Though we take appropriate care in packaing to avoid such situation.

Derecho a cancelaci�n

Condiciones de env�o

Tarifas de env�o en Estados Unidos de America

Tarifas de env�o en Estados Unidos de America
Cantidad del pedido	De 12 a 19 d�as h�biles	De 12 a 14 d�as h�biles
Primer art�culo	EUR 3.42	EUR 5.99

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.