The Elements of Statistical Learning: Data Mining, Inference, and Prediction Second Edition, written by Trevor Hastie, Robert Tibshirani and Jerome Friedman, is a valuable resource for statisticians and anyone interested in data mining in science or industry.

# Latest Free Math Books

## An Introduction to Statistical Learning

An Introduction to Statistical Learning with Applications in R, written by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani, is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.

## OpenIntro Statistics: Second Edition

The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible.

## Vector Math for 3D Computer Graphics

This is a tutorial on vector algebra and matrix algebra from the viewpoint of computer graphics. It covers most vector and matrix topics needed to read college-level computer graphics text books.

## Understanding Calculus

*Understanding Calculus* is a complete online introductory book that focuses on concepts.

## A Course in Universal Algebra

This is a reformatted version of the original Springer-Verlag Graduate Texts in Mathematics edition, 1981, of *A Course in Universal Algebra*.

## Euclid’s ‘Elements’ Redux

*Euclid’s ‘Elements’ Redux* is an open textbook on mathematical logic and geometry.

## Euclid’s Elements

David Joyce’s version of *Euclid’s Elements* which is a mathematical and geometric treatise consisting of 13 books written by the ancient Greek mathematician Euclid in Alexandria c. 300 BC.

## An Introduction to Probability and Random Processes

*An Introduction to Probability and Random Processes* is a manuscript of the work done in 1979 by Gian-Carlo Rota and Kenneth Baclawski.

## Elementary Linear Algebra

*Elementary Linear Algebra*, by Keith Matthews, is an introduction to linear algebra, based on lectures given by the author over 17 years, in the (now defunct) first year course MP103 at the University of Queensland.