20240520 - about the book

intro.qmd

@@ -1,9 +1,16 @@
 # Introduction {#sec-intro}
 
+## About this Book {#sec-aboutBook}
+
 How can we use information to make predictions about uncertain events?
 This book is about empiricism (basing theories on observed data) and judgment, prediction, and decision making in the context of uncertainty.
 The book provides an introduction to modern analytical techniques used to make informed predictions, test theories, and draw conclusions from a given dataset.
 
+This book was originally written for a undergraduate-level course entitled, "Fantasy Football: Predictive Analytics and Empiricism".
+The chapters provide an overview of topics that each could have its own class and textbook, such as [causal inference](causal-inference.qmd), [factor analysis](factor-analysis.qmd), [cluster analysis](cluster-analysis.qmd), [principal component analysis](pca.qmd), [machine learning](machine-learning.qmd), [cognitive biases](cognitive-bias.qmd), [modern portfolio theory](modern-portfolio-theory.qmd), [data visualization](data-visualization.qmd), [simulation](simulation.qmd), etc.
+The book gives readers an overview of the breadth of the approaches to prediction and empiricism.
+As a consequence, the book does not cover any one technique or approach in great depth.
+
 ## What is Fantasy Football? {#sec-whatIsFantasyFootball}
 
 Fantasy football is an online game where participants assemble (i.e., "draft") imaginary teams composed of real-life National Football League (NFL) players.