This article was written by Devin Soni. What are Markov chains, when to use them, and how they work Markov chains are a fairly common, and relatively simple, way to s...
How can organizations quickly discover insights in their data and develop deployable data science models? First step: understand how various components of their analytics...
Many predict, and warn, that the Artificial Intelligence (AI) Revolution will change the world – and possibly the very essence of mankind. But society-changing revolu...
These problems are for college undergrads after a first course in calculus. They are provided with solutions, and could be used by college professors as exercises or exam...
Gartner’s recently released “Magic Quadrant for Industrial IoT Platforms” outlines how organizations can leverage the Internet of Things (IoT) to drive their digita...
This article comes from Deep Learning Patterns. Note to reader: Diving into this material here can be a bit overwhelming. One way though to get an understanding of the ...
We discuss a new approach for selecting features from a large set of features, in an unsupervised machine learning framework. In supervised learning such as linear regres...
Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructur...
In my most recent blog, I discussed the idea of aligning the supply of services to market demand. My conceptualization of “alignment” specifically relates to time i...
This article was published by Andre De Castro on Blockgeeks. Andre is the CEO & Co-Founder of Blockchain of Things, Inc. Blockchain has become a media buzz due to...