The demand for data scientists is rapidly increasing as companies come up to speed with the fourth industrial revolution. The industry is expanding at an exponential rate...
There are numerous aspects of data science that determine a project’s success; from posing the right questions through to identifying and preparing relevant data, apply...
The Pragmatic Programmers just published my book Complex Network Analysis in Python. Recognize → Construct → Visualize → Analyze → Interpret. The book covers...
At times it might be desirable to determine what storylines on a narrative database contain certain key elements. In the example below, the object “Alien Allan” is ...
Open Source offered fertile ground for digital transformation. Though Open Source revolutionized software, it now has an impact in larger business fields. But this phenom...
In this multi-part series, we will explore how to get started with tensorflow. This tensorflow tutorial will lay a solid foundation to this popular tool that everyone see...
DML stands for “Dynamical Machine Learning” (more in the book, “SYSTEMS Analytics for IoT Data Science”, 2017). This match is not surprising once you realize that...
This article was written by Uli Bethke. The full title is “Dimensional Modeling and Kimball Data Marts in the Age of Big Data and Hadoop”. Is dimensional mo...
The previous posts in this series have covered several ways that business leaders can use to understand and explore how Artificial Intelligence can impact their business....
This article was written by Jason Brownlee. Artificial neural networks are a fascinating area of study, although they can be intimidating when just getting started. Th...