E-Book, Englisch, Band 1, 552 Seiten
Ivezic / Ivezi? / Connolly Statistics, Data Mining, and Machine Learning in Astronomy
Course Book
ISBN: 978-1-4008-4891-1
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
A Practical Python Guide for the Analysis of Survey Data
E-Book, Englisch, Band 1, 552 Seiten
Reihe: Princeton Series in Modern Observational Astronomy
ISBN: 978-1-4008-4891-1
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
?eljko Ivezi? is professor of astronomy at the University of Washington. Andrew J. Connolly is professor of astronomy at the University of Washington. Jacob T. VanderPlas is an NSF postdoctoral research fellow in astronomy and computer science at the University of Washington. Alexander Gray is professor of computer science at Georgia Institute of Technology.
Autoren/Hrsg.
Weitere Infos & Material
Frontmatter, pg. i
Contents, pg. v
Preface, pg. ix
1. About the Book and Supporting Material, pg. 3
2. Fast Computation on Massive Data Sets, pg. 43
3. Probability and Statistical Distributions, pg. 69
4. Classical Statistical Inference, pg. 123
5. Bayesian Statistical Inference, pg. 175
6. Searching for Structure in Point Data, pg. 249
7. Dimensionality and Its Reduction, pg. 289
8. Regression and Model Fitting, pg. 321
9. Classification, pg. 365
10. Time Series Analysis, pg. 403
A. An Introduction to Scientific Computing with Python, pg. 471
B. AstroML: Machine Learning for Astronomy, pg. 511
C. Astronomical Flux Measurements and Magnitudes, pg. 515
D. SQL Query for Downloading SDSS Data, pg. 519
E. Approximating the Fourier Transform with the FFT, pg. 521
Visual Figure Index, pg. 527
Index, pg. 533