MARC details
000 -LEADER |
fixed length control field |
02649nam a22002897a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
ISURa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
190617b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781138044852 |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
English Language |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.31 |
Item number |
STA |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Summa, Mireille Gettler |
Relator term |
Editor |
9 (RLIN) |
72539 |
245 ## - TITLE STATEMENT |
Title |
Statistical learning and data science |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
NewYork |
Name of publisher, distributor, etc |
CRC Press |
Date of publication, distribution, etc |
2017 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
Xv, 227 p. |
Other physical details |
some Colour |
Dimensions |
24 cm. |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Series in computer science and data analysis Serics |
9 (RLIN) |
72540 |
500 ## - GENERAL NOTE |
General note |
I. Statistical and machine learning --<br/>II. Data science, foundations, and applications --<br/>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"--Provided by publisher. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
BUSINESS AND ECONOMICS -- Statistics. |
9 (RLIN) |
72541 |
|
Topical term or geographic name as entry element |
Machine learning -- Statistical methods. |
9 (RLIN) |
72542 |
|
Topical term or geographic name as entry element |
Data mining |
9 (RLIN) |
29634 |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Bottou, Leon |
9 (RLIN) |
72543 |
|
Personal name |
Goldfarb, Bernard |
9 (RLIN) |
72544 |
|
Personal name |
Murtagh, Fionn |
9 (RLIN) |
72310 |
|
Personal name |
Pardoux, Catherine |
9 (RLIN) |
72545 |
|
Personal name |
Touati, Myriam |
9 (RLIN) |
72546 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Lending Books |