- Title Pages
1About the Book and Supporting Material
2Fast Computation on Massive Data Sets
3Probability and Statistical Distributions
4Classical Statistical Inference
5Bayesian Statistical Inference
6Searching for Structure in Point Data
7Dimensionality and Its Reduction
8Regression and Model Fitting
10Time Series Analysis
A.An Introduction to Scientific Computing with Python
B.AstroML: Machine Learning for Astronomy
C.Astronomical Flux Measurements and Magnitudes
D.SQL Query for Downloading SDSS Data
E.Approximating the Fourier Transform with the FFT
- Visual Figure Index
- Statistics, Data Mining, and Machine Learning in Astronomy
Andrew J. Connolly
Jacob T. VanderPlas
- Princeton University Press
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