Statistics Data Mining And Machine Learning In Astronomy A Practical Python Guide For The Analysis Of Survey Data - Info and Reading Options
By Alexander Gray
"Statistics Data Mining And Machine Learning In Astronomy A Practical Python Guide For The Analysis Of Survey Data" was published by Princeton University Press in 2014 - Princeton and it has 552 pages.
“Statistics Data Mining And Machine Learning In Astronomy A Practical Python Guide For The Analysis Of Survey Data” Metadata:
- Title: ➤ Statistics Data Mining And Machine Learning In Astronomy A Practical Python Guide For The Analysis Of Survey Data
- Author: Alexander Gray
- Number of Pages: 552
- Publisher: Princeton University Press
- Publish Date: 2014
- Publish Location: Princeton
“Statistics Data Mining And Machine Learning In Astronomy A Practical Python Guide For The Analysis Of Survey Data” Subjects and Themes:
- Subjects: ➤ Astronomy - Data processing - Statistical astronomy - Astronomy, data processing - Data mining - Machine learning - Astronomy--data processing - Python (computer program language)
Edition Identifiers:
- The Open Library ID: OL26035444M - OL17450991W
- Online Computer Library Center (OCLC) ID: 841893567
- Library of Congress Control Number (LCCN): 2013951369
- ISBN-13: 9780691151687 - 9781400848911
- All ISBNs: 9780691151687 - 9781400848911
AI-generated Review of “Statistics Data Mining And Machine Learning In Astronomy A Practical Python Guide For The Analysis Of Survey Data”:
"Statistics Data Mining And Machine Learning In Astronomy A Practical Python Guide For The Analysis Of Survey Data" Description:
Open Data:
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 s
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