Chapter 1 The Golem of Prague chapter 2 Small Worlds and Large Worlds chapter 3 Sampling the Imaginary chapter 4 Linear Models chapter 5 Multivariate Linear Models chapter 6 Overfitting, Regularization, and Information Criteria chapter 7 Interactions chapter 8 Markov Chain Monte Carlo chapter 9 Big Entropy and the Generalized Linear Model chapter 10 Counting and Classification chapter 11 Monsters and Mixtures chapter 12 Multilevel Models chapter 13 Adventures in Covariance chapter 14 Missing Data and Other Opportunities chapter 15 Horoscopes