This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9781491989388.

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Detalles bibliogr�ficos

T�tulo

Machine Learning With Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

Editor

O?Reilly

Fecha de publicaci�n

2018

Idioma

Ingl�s

ISBN 10

1491989386

ISBN 13

9781491989388

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

Good

Cat�logos de vendedores

Computing

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Sinopsis

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work.

Acerca del autor

Chris Albon is data scientist with a Ph.D. in quantitative political science and a decade of experience working in statistical learning, artificial intelligence, and software engineering. He founded New Knowledge, an artificial intelligence company, and previously worked for the crisis and humanitarian non-profit, Ushahidi. Chris also founded and co-hosts of the data science podcast, Partially Derivative.

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Descripci�n de la librer�a

Based in central Lincoln, Anybook Ltd. sells exclusively on line. We specialise in academic works. All our books are in good condition or better, unless otherwise described. We will respond to your enquiry promptly and mail books out within 24 hours of receiving payment. We use Royal Mail and other reputable couriers at greatly discounted postage rates. If you find cheaper postage from the UK, we'll match it. Remember if you are unsatisfied in any way with any purchase, we will give you a complete and unconditional refund. All books are hand wrapped. All e-mails answered personally. All books are offered subject to being unsold.

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Informaci�n empresarial del vendedor

Anybook Ltd.
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Anybook Ltd is a company registered in England and Wales. Company Registration Number: 3692291. VAT Number: GB753406145. Share Capital GBP100.

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