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Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition - Princeton Series in Modern Observational Astronomy Zeljko Ivezic Revised edition
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Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition - Princeton Series in Modern Observational Astronomy
Zeljko Ivezic
Statistics, Data Mining, and Machine Learning in Astronomy is the essential 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 Large Synoptic Survey Telescope. Now fully updated, it presents a wealth o
560 pages, 12 color + 187 b/w illus. 13 tables
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2019. gada 3. decembris |
| ISBN13 | 9780691198309 |
| Izdevēji | Princeton University Press |
| Lapas | 560 |
| Izmēri | 186 × 258 × 40 mm · 1,32 kg |
