About the Book and Supporting Material
Željko Ivezi, Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray, Željko Ivezi, Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray · Princeton University Press eBooks · 2014
This chapter begins by discussing the meaning of data mining, machine learning, and knowledge discovery. Data mining, machine learning, and knowledge discovery refer to research areas which can all be thought of as outgrowths of multivariate statistics. Their common themes are analysis and interpretation of data, often involving large quantities of data, and even more often resorting to numerical methods. The chapter then presents an incomplete survey of the relevant literature following by an introduction to the Python programming language and the Git code management tool. Next, it describes the surveys and data sets used in examples, plotting and visualizing the data in this book, and how to efficiently use this book.