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Can I read Ivezic, Ž ; Statistics, Data Mining, and Machine Learning in (Princeton Series in Modern Observational Astronomy) on EtoBox?
Ivezic, Ž ; Statistics, Data Mining, and Machine Learning in (Princeton Series in Modern Observational Astronomy) by Željko Ivezić, Andrew J. Connolly, Jacob T. Vanderplas, Alexander Gray is a nonfiction available to read on EtoBox.
What is Ivezic, Ž ; Statistics, Data Mining, and Machine Learning in (Princeton Series in Modern Observational Astronomy) about?
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. An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and appr
Who reads Ivezic, Ž ; Statistics, Data Mining, and Machine Learning in (Princeton Series in Modern Observational Astronomy)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Željko Ivezić, Andrew J. Connolly, Jacob T. Vanderplas, Alexander Gray
- Publisher
- Princeton University Press
- Published
- 2019
- Language
- EN
- ISBN
- 9780691197050
- Category
- nonfiction
- Subjects
- Science, Computer Science, Physics
Other editions & translations
- Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data (Princeton Series in Modern Observational A (2014)
- Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition (Princeton Series in Moder (2020)
- A Practical Python Guide for the Analysis of Survey Data, Updated Edition (With Bookmarks) (2020)
- Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition (Princeton Series in Moder (2019)
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