Articles

This article was written by Devin Soni.     Markov chains are a fairly common, and relatively simple, way to statistically model random processes. They have… Read More »Introduction to Markov Chains

As a college student, you will often be required to submit a written research paper in whatever field. For such a paper, you will have… Read More »Why Artificial Intelligence Research is Still Relevant

Enterprise Resource Planning (ERP), which is a buzzword these days, derives its name from its predecessor, Manufacturing Resource Planning (MRP II) and is now helping… Read More »Dynamics 365 vs. SAP Business One: All You Need to Know

This picture compares two different types of bootstrap (parametric and non-parametric) with their traditional counterpart. References Which Bootstrap When? Introduction to Empirical Processes and Semiparametric… Read More »Parametric and Non Parametric Bootstrap, Traditional Parametric: Comparison in One Picture

Gradient Descent has a problem of getting stuck in Local Minima. The following alternatives are available. The following is a summary of answers suggested on… Read More »Alternatives to the Gradient Descent Algorithm

There, I said it.  I said the “R” word.  And no, I’m not talking the political “R” word.  I’m talking about the potential of a…… Read More »Recessions, Big Data, Data Science and Liberating Power of “Own It”

Introduction In this article, we want to highlight some key data science use cases in marketing. As far as the key aim of data science… Read More »Top 8 Data Science Use Cases in Marketing

A use case on Logistic regression training Over the last few years there are several efforts for more powerful computing platforms to face the challenges… Read More »Performance evaluation of cloud computing platforms for Machine Learning