Statistical learning and data science (Record no. 11802)
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| fixed length control field | 03021cam a2200337Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | CAH0KE13243PDF |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | BD-DhSAU |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20151012144306.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
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| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr|||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 120329s2012 flua sb 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781439867648 (ebook : PDF) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | BD-DhSAU |
| Transcribing agency | BD-DhSAU |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | Q325.5 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) | .S73 2012 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | 006.31 |
| Item number | S797 |
| 245 00 - TITLE STATEMENT | |
| Title | Statistical learning and data science |
| Medium | [electronic resource] / |
| Statement of responsibility, etc. | edited by Mireille Gettler Summa ... [et al.]. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Boca Raton : |
| Name of publisher, distributor, etc. | CRC Press, |
| Date of publication, distribution, etc. | c2012. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xv, 227 p. : |
| Other physical details | col. ill. |
| 490 0# - SERIES STATEMENT | |
| Series statement | Chapman & Hall/CRC computer science & data analysis series |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references (p. 205-223) and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | I. Statistical and machine learning -- II. Data science, foundations, and applications -- III. Complex data. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data world that we inhabit.Statistical Learning and Data Science is a work of reference in the rapidly evolving context of converging methodologies. It gathers contributions from some of the foundational thinkers in the different fields of data analysis to the major theoretical results in the domain. On the methodological front, the volume includes conformal prediction and frameworks for assessing confidence in outputs, together with attendant risk. It illustrates a wide range of applications, including semantics, credit risk, energy production, genomics, and ecology. The book also addresses issues of origin and evolutions in the unsupervised data analysis arena, and presents some approaches for time series, symbolic data, and functional data.Over the history of multidimensional data analysis, more and more complex data have become available for processing. Supervised machine learning, semi-supervised analysis approaches, and unsupervised data analysis, provide great capability for addressing the digital data deluge. Exploring the foundations and recent breakthroughs in the field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our social, business, and physical environments. "-- |
| Assigning source | Provided by publisher. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print edition. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| General subdivision | Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining. |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| Source of term | lcsh |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Summa, Mireille Gettler. |
| 776 1# - ADDITIONAL PHYSICAL FORM ENTRY | |
| International Standard Book Number | 9781439867631 (hardback : alk. paper) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://marc.crcnetbase.com/isbn/9781439867648">http://marc.crcnetbase.com/isbn/9781439867648</a> |
| Electronic format type | application/PDF |
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