Recommendations from our site
“The book discusses the practical application of this in a variety of fields, including baseball, elections, weather forecasting, climate change, economics, and of course poker. It also emphasizes the importance of properly expressing uncertainty in statistical statements and the need to consider a range of probable outcomes rather than just single-point estimates. This can take various forms, but probabilities are a big one. A lot of the book is about that.” Read more...
Our most recommended books
-
An Introduction to Statistical Learning: with Applications in R
by Daniela Witten, Gareth James, Robert Tibshirani & Trevor Hastie -
Hello World: How to Be Human in the Age of the Machine
by Hannah Fry -
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
by Nathan Yau -
Superforecasting: The Art and Science of Prediction
by Dan Gardner & Philip E Tetlock -
Storytelling with Data: A Data Visualization Guide for Business Professionals
by Cole Nussbaumer Knaflic -
Thinking in Bets: Making Smarter Decisions When You Don't Have All the Facts
by Annie Duke
