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Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition: 13
Princeton University Press (9780691198309) | Revised throughout, Python code, Machine Learning in Astronomy, Survey Telescope, Astronomical surveys, Sets and code, Complex astronomical Data sets
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- Artificial Intelligence - Languages - Aeronautics & Aerospace - Education - Applied Physics - Mathematical - Physics - Theoretical Physics - Data Mining - Theoretical & Mathematical Astronomy - Maths |
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| Tags | Revised throughout Python code Machine Learning in Astronomy Survey Telescope Astronomical surveys Sets and code Complex astronomical Data sets |
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| Brand |  Princeton University Press is a university press affiliated with Princeton University. It was founded in 1905 by Van Wyck Brooks and Charles Scribner's Sons. |
| ID | 23172711 |
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