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...
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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...
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...
Choosing the Correct Type of Regression Analysis
Guest blog by Jim Frost. Regression analysis mathematically describes the relationship between a set of independent variables and a dependent variable. There are nume...
Deep Learning: AlphaGo Zero Explained In One Picture
Recently Google DeepMind announced AlphaGo Zero — an extraordinary achievement that has shown how it is possible to train an agent to a superhuman level in the high...
Inside the black box 2
Following the original observations of Neural Networks in action; I decided a follow up was needed. In the original blog, ; the smallest neural net (NN) that learnt the...
Intuition behind Bias-Variance trade-off, Lasso and Ridge Regression
Linear regression uses Ordinary Least square method to find the best coefficient estimates. One of the assumptions of Linear regression is that the variables are not corr...