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Springer Series in Statistics Ser.: The Elements of Statistical Learning : Data

$496.28 MXN
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Las opciones de envío

Los buques de 2 business days Detalles
No hay precio de envío se especifica en MX
Los buques de United States Us

Política de oferta

OBO - El vendedor acepta ofertas en este artículo. Detalles

La política de devoluciones

Full refund available within 30 days

Protección de compra

Opciones de pago

PayPal accepted
PayPal Credit accepted
Venmo accepted
PayPal, MasterCard, Visa, Discover, and American Express accepted
Maestro accepted
Amazon Pay accepted
Nuvei accepted

Rasgos del artículo

Categoría:

Adult Learning & University

cantidad disponible:

Sólo uno en stock, para muy pronto

Condition:

Brand New

Format:

Paperback

Type:

Textbook

Language:

English

Publication Year:

2017

Country/Region of Manufacture:

India

Personalised:

No

Subject Area:

Data Analysis

Publication Name:

The Elements of Statistical Learning Data Mining, Inference, and

MPN:

Does Not Apply

Publisher:

Springer-Verlag NY Inc.

Item Length:

9.4in.

Subject:

Statistics

Series:

Second Edition

Unit Type:

Unit

Item Height:

235mm

Educational Level:

Adult & Further Education

Level:

Intermediate

Features:

1st Edition

Unit Quantity:

1

Item Weight:

1451g

Item Width:

155mm

Number of Pages:

745 Pages

Detalles del anuncio

Precio de descuento:

10% De descuento w / $100.00 pasó

Publicado en venta:

Más de una semana

Artículo número:

1724472928

Descripción del Artículo

This textbook, titled "The Elements of Statistical Learning: Data Mining, Inference, and" is an excellent resource for those interested in data analysis and statistics. Published in 2017 by Springer-Verlag NY Inc., the second edition of this book is authored by Trevor Hastie, Jerome Friedman, and Robert Tibshirani. This paperback book, with a length of 9.4in and a height of 235mm, is a 745-page guide for intermediate-level learners. It features the first edition, and its unit quantity is one. The textbook is written in English and covers topics such as data analysis and statistics.