Articles

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

Offline marketing is far from dead The marketing communication industry has three main players: the brand, the agency and the media owner. The agency, who… Read More »Opening the black box of offline marketing with data analytics

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »15 Great Articles about Bayesian Methods and Networks