There is a library called threading in Python and it uses threads (rather than just processes) to implement parallelism. This may be surprising news if you know about t...
Our world is fuelled by information, today more than ever before. Social media, technology, the internet at large – all of these contribute to a curious society who wil...
The third annual University of San Francisco (USF) MBA class Golden State Warriors analytics exercise provided an opportunity to test the students’ ability to “Think ...
This article was written by Luis Verde Arregoitia on his personal research page. For various kinds of analyses, we often end up plotting point data in two dimensions for...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
This article is an excerpt from “Natural Language Processing and Computational Linguistics” published by Packt. Introduction Arguably the most important application o...
This article was written by Tristan Handy. This post is about how to create the analytics competency at your organization. It’s not about what metrics to track (there a...
Summary: There are two definitions currently in use for AI, the popular definition and the data science definition and they conflict in fundamental ways. If you’re ...
There are transformative technologies in the world today with consistent effect and reliability in their promise to alter or change the ecosystem. Industries have transfo...
The information technology (IT) infrastructure in traditional organizations, particularly in the insurance industry, typically contains three components: 1) the legacy sy...