Articles

Deep Learning is a highly empirical domain which majorly focusses on fine-tuning the various parameters. The choice of these parameters defines the accuracy of the… Read More »Bias Variance Trade Off

I suck at the NCAA March Madness® bracket selection process.  I let my personal biases get in the way of making decisions based upon the… Read More »Using Data Science and Google Cloud to Win March Madness…Well, Not Really

This is a simple overview of the k-NN process. Perhaps the most challenging step is finding a k that’s “just right”. The square root of n… Read More »K-nn Clustering Explained in One Picture

The manufacturing business faces huge transformations nowadays. Due to rapid development of digital world and broad application of data science, various fields of human activity… Read More »Top 8 Data Science Use Cases in Manufacturing

Summary:  Based on a McKinsey study we reported that 47% of companies had at least one AI/ML implementation in place.  Looking back at the data… Read More »Is Robotic Process Automation (RPA) Really AI?

We’ve all experienced the great data rush as companies push to use analytics to drive business decisions. After all, the proliferation of data and its… Read More »Training for Context: The Importance of Word2Vec

March Madness officially arrived at 6 PM CDT, Sunday 3/17/2019. 68 D1 schools — 32 league champions and 36 at large selections — received invitations… Read More »March Madness, KenPom and Python/Pandas.

Introduction I spoke at the iot expo on AI and smart cities  in London this week Smart cities have been around for more than a… Read More »Can we fix Smart City deployments using AI, Cloud and Video?

Determining sample sizes is a challenging undertaking. For simplicity, I’ve limited this picture to the one of the most common testing situation: testing for differences… Read More »Determining Sample Size in One Picture