Relationships, Geometry, and Artificial Intelligence
By Gunnar Carlsson December 3, 2018 In their very provocative paper, Peter Battaglia and his colleagues, posit that in order for artificial intelligence (AI) to achie...
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The Ultimate R Cheatsheet
The Ultimate R Cheatsheet We are developing a revolutionary new system for teaching Business Analysis with R (Business Analysis with R is a new course we are developin...
Finding insights with graph analytics
From detecting anomalies to understanding what are the key elements in a network, or highlighting communities, graph analytics reveal information that would otherwise rem...
Ad hoc analysis: BI's fast food problem
(This article originally appeared on the 3AG Systems blog) The ad hoc promise In a world where businesses live or die on data, self-serve BI is the information super-food...
BI strategy beyond Excel
(This post originally appeared here) In a data-driven world, it’s odd that gut instinct still plays such a big part in business decisions. But why isn’t surprising:...
Open Peer-to-Peer Communications to Facilitate Real-time Insights Sharing
My blog “Blockchain + Analytics: Enabling Smart IOT” drew some great feedback asking me to clarify my autonomous vehicle example that used blockchain as a means of ne...
Use cases of Machine Learning for E-commerce enterprises
Machine learning is one of the most searched keyword on any search engine at this point of time. The reason is quite clear; the benefits of utilising it in any industry i...
How to Execute R and Python in SQL Server with Machine Learning Services
Introduction Did you know that you can write R and Python code within your T-SQL statements? Machine Learning Services in SQLServer eliminates the need for data movem...
Statisticians, like artists, have the bad habit of falling in love with their models
This is a quote by George E Box. Share if you like it. In short, all models are approximations. All models are wrong, but some are useful. George E Box (18 October 1919 ...
Generalized Machine Learning – Kerneml – Simple ML to train Complex ML
I recently created a ‘particle optimizer’ and published a pip python package called kernelml. The motivation for making this algorithm was to give analysts and data s...