Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.

Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...

The importance of Introductory Statistical Procedures with SPSS guidebook is that it is simple to use and requires no prior knowledge, while yet presenting the core concepts of statistical theory with ...