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Chapter 1: Introduction and Data Sets
Chapter 2: Fast Computation and Massive Datasets
Chapter 3: Probability and Statistical Distributions
Chapter 4: Classical Statistical Inference
Chapter 5: Bayesian Statistical Inference
Chapter 6: Searching for Structure in Point Data
Chapter 7: Dimensionality and its Reduction
- Dimensionality reduction
Chapter 8: Regression and Model Fitting
- Measurement Errors in Linear Regression
- Measurement errors in both dependent and independent variables
Chapter 9: Classification
- Classification
- Deep Learning: Classifying Astronomical Images
Chapter 10: Time Series Analysis

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Chapter 2: Fast Computation and Massive Datasets

Chapter 2: Fast Computation and Massive Datasets#

This chapter discusses computational strategies for large datasets.

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Chapter 1: Introduction and Data Sets

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Chapter 3: Probability and Statistical Distributions

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