Contributed by Regan Yee. New York City — it’s known for its fast walkers, busy people, and of course aggressive drivers. Many people who live here know that it ...
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 of dyna...
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…...
(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...
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 do?” This isn’t surprising, as mos...
An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, he...
2018 is likely to be a game-changing year for the banking and finance sector. As the General Data Protection Regulation (GDPR) and Revised Payment Service Directive (PSD2...
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, comprehens...
A data scientist needs to be Critical and always on a lookout for something that misses others. So here is some advice that one can include in the day to day data science...
By Winnifred Louis, Associate Professor, Social Psychology, The University of Queensland, and Cassandra Chapman,PhD Candidate in Social Psychology, The University of Qu...