Book Review

Review: Mastering Python Scientific Computing

Review: Beautiful Data

Review: Data Mining with Rattle and R

Review: Machine Learning with R Cookbook

“Machine Learning with R Cookbook” by Chiu Yu-Wei is nothing more or less than it purports to be: a collection of 110 recipes for applying Data Analysis and Machine Learning techniques in R. I was asked by the publishers to review this book and found it to be an interesting and informative read. It will not help you understand how Machine Learning works (that’s not the goal!) but it will help you quickly learn how to apply Machine Learning techniques to you own problems.

Book Review: Graph Databases

The book Graph Databases by Ian Robinson, Jim Webber and Emil Eifrem gives an engaging overview of Graph Databases, describing typical use cases and illustrating the syntax used to construct and query them. Graph Databases are a form of NoSQL database and, as such, differ significantly from the ubiquitous Relational Databases. The authors discuss a variety of scenarios where a Graph Database would be a better fit than a Relational Database, showing how they are particularly well suited to data which describe relationships between entities.

Book Review: R for Business Analytics

The book R for Business Analytics by Ajay Ohri sets out to look at “some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages.” In my opinion it succeeds in covering an extensive range of topics but fails to provide anything of substantial use to its intended audience. At least, not anything that could not be uncovered by a brief internet search.