• Design and troubleshoot machine learning systems for common tasks including regression, classification, and clustering
• Acquaint yourself with popular machine learning algorithms, including...

Book + Content Update Program

Master core Excel 2016 tools for building powerful, reliable spreadsheets with Excel 2016 Formulas and Functions. Excel expert Paul McFedries shows how to use Excel 2016’s core features to solve problems and get the answers you need. Using real-world examples, McFedries helps...

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets. The basic principle is that local averaging or smoothing is performed with respect to a kernel function.

This book provides uninitiated readers with a feeling for the principles, applications, and analysis of kernel smoothers....

In this second edition of Endings & Beginnings (Routledge, 2006), Herbert J. Schlesinger explores endings and beginnings within psychoanalysis and psychoanalytic therapy; both the obvious main endings and beginnings of any course in treatment, and the many little endings and beginnings that permeate analysis. The...

While SAS and SPSS have many things in common, R is very different. My goal in writing this book is to help you translate what you know about SAS or SPSS into a working knowledge of R as quickly and easily as possible. I point out how they differ using terminology with which you are familiar, and show you which add-on packages will...

R is a powerful and flexible statistical and graphical environment that is freely distributed under the GNU Public Licencea for all major computing platforms (Windows, MacOSX and Linux). This open source licence along with a relatively simple scripting syntax has promoted diverse and rapid evolution and contribution. As the broader scientific...

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We...