Statistics for Geoscience

Mastering Machine Learning With R This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more.

In this article we will analyze the popularity of various software programs designed for data analysis using recently published reviews. These articles and blogs were written in the last two years, covering a wide range of software tools written in C++, Java and Python. Such programs are designed for data analysis, data mining, statistics and data visualization. Here is the list of articles used in our analysis of popularity of such software tools: Link to full article.......

The John Fox's Home Page  provides a list of R packages, selected Short Courses, Lectures, Workshops, Tutorials, and Talks,  and some useful books.

The goal of factor analysis, similar to principal component analysis, is to reduce the original variables into a smaller number of factors that allows for easier interpretation. PCA and factor analysis still defer in several respects. One difference is principal components are defined as linear combinations of the variables while factors are defined as linear combinations of the underlying latent variables............more