Spring Reading Challenge
Genres

Math Thinking


Math Thinking Books

How Not to Be Wrong: The Power of Mathematical Thinking
How to Solve It: A New Aspect of Mathematical Method (Princeton Science Library)
Power And Prediction: The Disruptive Economics of Artificial Intelligence
The Art of Statistics: How to Learn from Data
Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Superforecasting: The Art and Science of Prediction
Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World
Superintelligence: Paths, Dangers, Strategies
A Mind for Numbers: How to Excel at Math and Science (Even If You Flunked Algebra)
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Smart: Using Data Science to Transform Information into Insight
Lean Analytics: Use Data to Build a Better Startup Faster
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
Naked Statistics: Stripping the Dread from the Data
More math thinking books...