ECommerce fraud is growing quickly, creating new challenges in terms of prevention and detection. As merchants gather more and more information about customers and their ...
This shinyapp is a live shiny/R web application (hosted on shinyapps.io) that implements simple sentiment analysis POC with R, to have an insight about the peopleR...
The evolution of modern technology in the past 10 years is astounding: our mobile phones are becoming smarter by the second, our online behavior is revealing more about h...
About a month ago in a blog, I introduced what I described as a “spectral attenuation monitor.” At the time I only had an image from MS Works that used simulated da...
In this article, we discuss a general machine learning technique to make predictions or score transnational data, applicable to very big, streaming data. This hybrid tech...
1. Abstract The objective of this paper is to present the process of building a Deep Learning Model for optimising the output for a Production Process from a...
It’s all over for us humans. It may not have been “The Matrix”[1], but the machines look like they are finally poised to take our jobs. Machines powered by artifici...
In this article, we shall see how the Bayesian Kalman Filter can be used to predict positions of some moving particles / objects in 2D. This article is inspired by a pr...
These days, many organisations have begun to develop their own knowledge graphs. One reason might be to build a solid basis for various machine learning and cognitive com...
Will Artificial Intelligence make subject matter experts obsolete? Imagine you want to build an application that helps to identify wine and cheese pairings. Who will perf...