Explore a comprehensive lecture on the Automatic Statistician, delivered by Professor Zoubin Ghahramani from the University of Cambridge and the Alan Turing Institute. Delve into Bayesian model selection strategies for automated model selection and human-readable report generation. Learn about the ingredients of an automatic statistician, including the language of regression models, Gaussian processes, and composition rules. Examine real-world applications through examples like the Mauna Loa Keeling Curve analysis and discover how this approach achieves good predictive performance. Gain insights into model checking, criticism, and the rational allocation of computational resources in this cutting-edge field of machine learning and statistics.