This book is about the concept of churn and how to apply data to solve the problem of churn. It goes through the different aspects of classifying customers and making cohorts of customers. It also delves into the problem of understanding churn and the likelihood of churn.
This book is mostly about different ways of thinking about models, in the context of making models of real-world phenomena. It dives into the cons and benefits of each mindset and tries to explain how knowing each is a good advantage.
How statistics revolutionized baseball. Goes into detail about the famous (now movie) season of the Oakland A´s season and why and how they succeeded despite a pitiful budget. It highlights our human faults and how some can benefit greatly from exploiting other people´s biases.
This book is an easy and good introduction to recommendation systems. It is meant to introduce the concept of recommendation systems and, from there, give concepts and methods on how to make them. This book is about usage rather than the theoretical background.
Correlation: Any association between two random variables. Correlations are symmetric.