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Business Data Science : Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Taddy, Matt (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, N.Y. : McGraw Hill LLC, [2019]
Edición:First edition.
Colección:McGraw-Hill's AccessEngineeringLibrary.
Temas:
Acceso en línea:Texto completo

MARC

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020 |z 9781260452778 (print-ISBN) 
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100 1 |a Taddy, Matt,  |e author. 
245 1 0 |a Business Data Science :  |b Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions /  |c Matt Taddy. 
250 |a First edition. 
264 1 |a New York, N.Y. :  |b McGraw Hill LLC,  |c [2019] 
264 4 |c ?2019 
300 |a 1 online resource (384 pages) :  |b illustrations. 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
490 1 |a McGraw-Hill's AccessEngineeringLibrary 
504 |a Includes bibliographical references and index. 
505 0 |a Cover -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Introduction -- 1 Uncertainty -- 2 Regression -- 3 Regularization -- 4 Classification -- 5 Experiments -- 6 Controls -- 7 Factorization -- 8 Text as Data -- 9 Nonparametrics -- 10 Artificial Intelligence -- Bibliography -- Index. 
530 |a Also available in print and PDF edition. 
533 |a Electronic reproduction.  |b New York, N.Y. :  |c McGraw Hill,  |d 2019.  |n Mode of access: World Wide Web.  |n System requirements: Web browser.  |n Access may be restricted to users at subscribing institutions. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 |a Description based on e-Publication PDF. 
650 0 |a Decision making  |x Econometric models. 
650 0 |a Machine learning. 
655 0 |a Electronic books. 
776 0 8 |i Print version:  |t Business Data Science : Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions.  |b First edition.  |d New York, N.Y. : McGraw-Hill Education, 2019  |z 9781260452778  |w (OCoLC)1132914002 
830 0 |a McGraw-Hill's AccessEngineeringLibrary. 
856 4 0 |u https://accessengineeringlibrary.uam.elogim.com/content/book/9781260452778  |z Texto completo