MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03551cam a2200409 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
21026112 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250306123800.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
190619t20202020njua b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2019022878 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780691198309 (hbk.) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
PSt/DLC |
| Language of cataloging |
eng |
| Transcribing agency |
JKRC |
| Description conventions |
rda |
| Modifying agency |
DLC |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
522.85 |
| Edition number |
23 |
| Item number |
IVE.Z |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ivezic, Zeljko, |
| Relator term |
Author. |
| 9 (RLIN) |
31799 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Statistics, data mining, and machine learning in astronomy : |
| Remainder of title |
a practical Python guide for the analysis of survey data / |
| Statement of responsibility, etc. |
by Zeljko Ivezic et. al... |
| Medium |
English. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Princeton : |
| Name of publisher, distributor, etc. |
Princeton University Press, |
| Date of publication, distribution, etc. |
2020. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2020. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x, 537 p. |
| Other physical details |
illustrations (some color) ; |
| Dimensions |
26 cm |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Princeton series in modern observational astronomy |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers. The updates in this new edition will include fixing "code rot," correcting errata, and adding some new sections. In particular, the new sections include new material on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, evaluate the methods, and adapt them to their own fields of interest"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Astronomy |
| General subdivision |
Data processing. |
| 9 (RLIN) |
31800 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Statistical astronomy. |
| 9 (RLIN) |
31801 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
| 9 (RLIN) |
18289 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Connolly, Andrew |
| Fuller form of name |
(Andrew J.), |
| Relator term |
Author. |
| 9 (RLIN) |
31802 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Vanderplas, Jacob T., |
| Relator term |
Author. |
| 9 (RLIN) |
31803 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gray, Alexander |
| Fuller form of name |
(Alexander G.), |
| Relator term |
Author. |
| 9 (RLIN) |
31804 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Online version: |
| Main entry heading |
Ivezic, Zeljko, |
| Title |
Statistics, data mining, and machine learning in astronomy |
| Edition |
Updated edition. |
| Place, publisher, and date of publication |
Princeton : Princeton University Press, 2020. |
| International Standard Book Number |
9780691197050 |
| Record control number |
(DLC) 2019022879 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Princeton series in modern observational astronomy. |
| 9 (RLIN) |
31805 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Books |
| Edition |
23 |
| Suppress in OPAC |
No |