BOOKS - PROGRAMMING - Statistics, Data Mining and Machine Learning in Astronomy A Pra...
US $8.76
158355
158355
Statistics, Data Mining and Machine Learning in Astronomy A Practical Python Guide for the Analysis of Survey Data, Updated Ed
Author: Zeljko Ivezi?, Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray
Year: 2020
Number of pages: 560
Format: PDF
File size: 39,5 MB
Language: ENG
Year: 2020
Number of pages: 560
Format: PDF
File size: 39,5 MB
Language: ENG
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 of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys 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, engage with the different methods, and adapt them to their own fields of interest.
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