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...
The technique presented here blends non-standard, robust versions of decision trees and regression. It has been successfully used in black-box ML implementations. In this...
This article was written by Yhat. Introduction One of my favorite things about Python is that users get the benefit of observing the R community and then emulating the ...
I love the simplicity of the data science concepts as taught by the book “Moneyball.” Everyone wants to jump right into the real meaty, highly technical data science ...
This post is the fourth part of the multi-part series on how to build a search engine – How to build a search engine – Part 1: Installing the tools and getting th...
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
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...
When I first heard the term Big Data few years ago, I didn’t think much of it. Soon after, Big Data started appearing in many of my conversations with many of my tech f...
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...