Summary: Clean Code is a clear guide to writing better software which can be applied to data mining and SQL queries. The Pragmatic Programmer is a more detailed but slightly more antiquated book. Code Complete is a massive tome full of specific guidance.
Summary: Mixes code and concepts very well. Consistent format between each topic chapter. Great for R newbies and R pros looking for insight into a specific model or package.
I’ve had this book on my (digital) shelf for a long time. It’s an intimidating tome. It’s big and broad. However, it’s not exactly what I was expecting. As the book title explains, the main focus is data analysis. Not necessarily statistical or data mining analysis. Instead, chapters one through eleven are focused on plotting, mathematical […]
As I’m working on a Decision Tree tutorial, I picked up the foundational text: Classification and Regression Trees by Breiman, Friedman, Stone, and Olshen. In a nutshell, this book is a math heavy, history lesson on the invention of the decision tree algorithms.