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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… Read More »Use cases of Machine Learning for E-commerce enterprises

In a blog from three months ago, I wrote on “kind of” big data in R. The “kind of” was meant as a caveat that data… Read More »PostgreSQL, MonetDB, and Too-Big-for-Memory Data in R — Part I

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… Read More »How to Execute R and Python in SQL Server with Machine Learning Services

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… Read More »Statisticians, like artists, have the bad habit of falling in love with their models

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… Read More »Generalized Machine Learning – Kerneml – Simple ML to train Complex ML

THE THREE GOOD DECISIONS.. Some thirty years back, when I started my career as a management-trainee with an Aerospace company; the 18 months long training… Read More »Decision-driven before data-driven : A roadmap for data-driven organizations

I met up with an old grad school friend a few weeks back. He’s an accomplished professor of demography, basically the statistical study of populations, particularly… Read More »American Community Survey data in R

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation,… Read More »27 Great Resources About Logistic Regression