Data Science and Predictive Analytics (Registro nro. 6864)

Detalles MARC
000 -LEADER
fixed length control field 04304nam a2200445 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250329170941.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---uuuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180827s2018 s 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319723471
-- 978-3-319-72347-1
040 ## - CATALOGING SOURCE
Original cataloging agency CO-CtgCURN
Language of cataloging spa
Transcribing agency coctgcurn
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7
Edition information 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dinov, Ivo D.,
Relator term autor.
Relationship aut.
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Data Science and Predictive Analytics
Medium [electronic resource] :
Remainder of title Biomedical and Health Applications using R /
Statement of responsibility, etc. by Ivo D. Dinov.
260 #4 - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cham : : :
Name of publisher, distributor, etc. Springer International Publishing : : :
-- Imprint: Springer,,,
Date of publication, distribution, etc. 2018.
260 #1 - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2018.
300 ## - PHYSICAL DESCRIPTION
Extent XXXIV, 832 p. 1443 illus., 1245 illus. in color. :
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term texto
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computador
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term recurso en línea
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Incluye referencias bibliográficas e índice.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1 Introduction -- 2 Foundations of R -- 3 Managing Data in R -- 4 Data Visualization -- 5 Linear Algebra & Matrix Computing -- 6 Dimensionality Reduction -- 7 Lazy Learning: Classification Using Nearest Neighbors -- 8 Probabilistic Learning: Classification Using Naive Bayes -- 9 Decision Tree Divide and Conquer Classification -- 10 Forecasting Numeric Data Using Regression Models -- 11 Black Box Machine-Learning Methods: Neural Networks and Support Vector Machines -- 12 Apriori Association Rules Learning -- 13 k-Means Clustering -- 14 Model Performance Assessment -- 15 Improving Model Performance -- 16 Specialized Machine Learning Topics -- 17 Variable/Feature Selection -- 18 Regularized Linear Modeling and Controlled Variable Selection -- 19 Big Longitudinal Data Analysis -- 20 Natural Language Processing/Text Mining -- 21 Prediction and Internal Statistical Cross Validation -- 22 Function Optimization -- 23 Deep Learning Neural Networks -- 24 Summary -- 25 Glossary -- 26 Index -- 27 Errata.
520 ## - SUMMARY, ETC.
Summary, etc. Durante la última década, Big Data se ha vuelto omnipresente en todos los sectores económicos, disciplinas científicas y actividades humanas. Han llevado a sorprendentes avances tecnológicos, que afectan a todas las experiencias humanas. Nuestra capacidad para gestionar, comprender, interrogar e interpretar datos extremadamente grandes, de múltiples fuentes, heterogéneos, incompletos, de varias escalas e incongruentes no ha seguido el ritmo del rápido aumento del volumen, la complejidad y la proliferación del diluvio de información digital. Hay tres razones para este déficit. Primero, el volumen de datos aumenta mucho más rápido que el aumento correspondiente de nuestro poder de procesamiento computacional (ley de Kryder> ley de Moore). En segundo lugar, los límites disciplinarios tradicionales inhiben el progreso expedito. Tercero, nuestras actividades de educación y capacitación se han quedado atrás de la tendencia acelerada de los avances científicos, de información y comunicación. Hay muy pocos recursos de instrucción rigurosos, materiales de aprendizaje interactivos y entornos de capacitación dinámicos que respalden el aprendizaje activo de la ciencia de datos. Al exponer las enormes oportunidades que presenta el tsunami de Big Data, este libro de texto tiene como objetivo identificar brechas de conocimiento específicas, barreras educativas y deficiencias en la preparación de la fuerza laboral.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Registros médicos
General subdivision Procesamiento de datos.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Ciencias de la computación.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Minería de datos.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big Data.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Informática médica.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probabilidad en Ciencias de la computación.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Minería de datos.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
856 7# - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://unicurn.sharepoint.com/:b:/s/biblioteca/ETva2w8hE41EgL9B2NBx5BABEAXuIS12am-CM8X4gH9r0g?e=IENm5O">https://unicurn.sharepoint.com/:b:/s/biblioteca/ETva2w8hE41EgL9B2NBx5BABEAXuIS12am-CM8X4gH9r0g?e=IENm5O</a>
Public note <img src="/screens/gifs/go4.gif" alt="Go button" border="0" width="21" height="21" hspace="7" align=middle"> Vea este libro electrónico
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Libros electrónicos
Classification part 005.7
Item part D586
Source of classification or shelving scheme Dewey Decimal Classification
960 ## - PHYSICAL LOCATION (RLIN)
Physical location, PLOC (RLIN) a2850662
Existencias
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Total checkouts Full call number Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Libros electrónicos Miguel Henríquez Castañeda Miguel Henríquez Castañeda   03/29/2025   005.7 D586 03/29/2025 03/29/2025 Libros electrónicos