Detalles MARC
| 000 -CABECERA |
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| campo de control de longitud fija |
02834cam a2200337 i 4500 |
| 001 - NÚMERO DE CONTROL |
|---|
| campo de control |
22342476 |
| 005 - FECHA Y HORA DE ACTUALIZACIÓN |
|---|
| 005 |
20231023100711.0 |
| 006 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA--CARACTERÍSTICAS DEL MATERIAL ADICIONAL |
|---|
| campo de control de longitud fija |
m |o d | |
| 007 - CAMPO FIJO DE DESCRIPCIÓN FÍSICA--INFORMACIÓN GENERAL |
|---|
| campo de control de longitud fija |
cr ||||||||||| |
| 008 - LONGITUD FIJA |
|---|
| campo de control de longitud fija |
190118s2019 nyua o 000 0 eng |
| 010 ## - NÚMERO DE CONTROL DE LA BIBLIOTECA DEL CONGRESO |
|---|
| Número de control de LC |
2020753842 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| ISBN |
9781260452785 |
| información adicional |
ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| ISBN cancelado o inválido |
9781260452778 |
| información adicional |
(hardback) |
| 040 ## - FUENTE DE CATALOGACIÓN |
|---|
| Centro catalogador/agencia de origen |
DLC |
| Lengua de catalogación |
Inglés |
| Normas de descripción |
rda |
| Centro/agencia transcriptor |
EC-QuPUC |
| Catalogador |
LS |
| 041 ## - IDIOMA |
|---|
| idioma |
Inglés |
| 100 ## - AUTOR PERSONAL |
|---|
| nombre |
Taddy, Matt |
| Término indicativo de función/relación |
Autor |
| 9 (RLIN) |
83503 |
| 245 10 - TÍTULO PROPIAMENTE DICHO |
|---|
| título |
Business data science : |
| subtítulo |
combining machine learning and economics to optimize, automate, and accelerate business decisions / |
| Mención de responsabilidad, etc. |
Matt Taddy. |
| 264 #1 - PIE DE IMPRENTA |
|---|
| lugar (ciudad) |
New York : |
| editorial |
McGraw-Hill Education, |
| fecha |
2019. |
| 300 ## - DESCRIPCIÓN FÍSICA |
|---|
| Extensión |
1 online resource (xii, 331 pages) |
| 336 ## - TIPO DE CONTENIDO |
|---|
| Content type code |
txt |
| 337 ## - MEDIACIÓN |
|---|
| Nombre/término del tipo de medio |
computadora |
| Media type code |
c |
| 338 ## - PORTADOR |
|---|
| Nombre/término del tipo de soporte |
recurso en línea |
| Carrier type code |
cr |
| 520 ## - RESUMEN |
|---|
| Resumen |
"Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you'll find the information, insight, and tools you need to flourish in today's data-driven economy. You'll learn how to: Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling. Understand how use ML tools in real world business problems, where causation matters more that correlation. data science programs by scripting in the R programming language Today's business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It's about the exciting things being done around Big Data to run a flourishing business. It's about the precepts, principals, and best practices that you need know for best-in-class business data science"-- |
| 520 ## - RESUMEN |
|---|
| Resumen |
"Combining machine learning and economics to optimize, automate, and accelerate business decisions"-- |
| 588 ## - Fuente de la Descripción |
|---|
| fuente |
Description based on print version record and CIP data provided by publisher; resource not viewed. |
| 856 ## - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS |
|---|
| URL |
<a href="https://www.accessengineeringlibrary.com/content/book/9781260452778">https://www.accessengineeringlibrary.com/content/book/9781260452778</a> |
| 082 00 - CLASIFICACIÓN DECIMAL DEWEY |
|---|
| Clasificación |
658.4033 |
| edición |
23 |
| 650 #7 - MATERIA GENERAL |
|---|
| Término de materia o nombre geográfico como elemento inicial |
Toma de decisiones |
| Subdivisión general |
Modelos econométricos. |
| 9 (RLIN) |
64865 |
| 650 #7 - MATERIA GENERAL |
|---|
| Término de materia o nombre geográfico como elemento inicial |
Aprendizaje automático (Inteligencia artificial) |
| 9 (RLIN) |
45327 |
| 942 ## - PUNTO DE ACCESO ADICIONAL KOHA |
|---|
| Tipo de ítem koha |
E-Book |
