Deep Learning an emerging branch of machine learning, has garnered a lot of recognition in the field of technology over the last decade. It is… Read More »Kaggle's Rachel Tatman on what to do when applying deep learning is overkill
Generally speaking descriptive analytics is the process of making some sense or adding some structure to a data set, which at times can be very… Read More »Blog: Descriptive Versus Predictive Analytics
I’m unsure if it is a common misconception, but I know I used to believe that the only thing needed to present findings from statistical… Read More »Why including effect size and knowing your statistical power are important
Summary: AML has been around since at least 2016 but only in the last year have Gartner and Forrester begun to offer their opinions. Here’s… Read More »Gartner and Forrester Begin to Weigh in on Automated Machine Learning (AML)
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
How is AI Used in Manufacturing Industry Now? Manufacturing is one of the main industries that use Artificial Intelligence and Machine Learning technologies to its fullest potential.… Read More »Machine Learning and AI in Manufacturing
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
When we take into account the insurance and banking industry, data plays a central role in it. Insurance is a people-centric business. A business that… Read More »The Journey of Machine Learning Through Banking & Insurance Industry
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
