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Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data - Princeton Series in Modern Observational Astronomy Zeljko Ivezic
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data - Princeton Series in Modern Observational Astronomy
Zeljko Ivezic
Provides an introduction to the statistical methods needed to 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.
560 pages, 12 color illus. 2 halftones. 173 line illus.
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2014年1月12日 |
| ISBN13 | 9780691151687 |
| 出版社 | Princeton University Press |
| ページ数 | 560 |
| 寸法 | 256 × 184 × 39 mm · 1,38 kg |
| 言語 | 英語 |
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