Articles

For many, mathematical modeling is exclusively about algebraic models, based on one form or another of regression or on differential equation modeling in the case… Read More »Alternatives to algebraic modeling for complex data: topological modeling via Gunnar Carlsson

Multiple numeric columns in data and even more techniques at hand to analyse the data, like histograms, ANOVA, mean/median, contingency tables, scatter plots, variance…what to… Read More »Where There Are Numbers, There Is Box Plot

(Photo credit:  Rob Lavinsky, iRocks.com – CC-BY-SA-3.0) In 1945, Count ,Richard Taaffe* a Dublin gem collector, was sorting through a set of spinel gems that he had… Read More »Finding "Gems" in Big Data

When I tell people that I work at an AI company, they often follow up with “So what kind of machine learning/deep learning do you… Read More »More than ML: Guide to the Components of AI

An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you… Read More »Book: Advanced R (Chapman & Hall/CRC The R Series)

About the Textbook: Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive… Read More »Book: Neural Networks and Statistical Learning

By Winnifred Louis, Associate Professor, Social Psychology, The University of Queensland, and Cassandra Chapman,PhD Candidate in Social Psychology, The University of Queensland. Here are the 7 sins:… Read More »The seven deadly sins of statistical misinterpretation, and how to avoid them