Data Science meets System Dynamics
Developed at MIT’s Sloan School of Management in 1950s system dynamics is a methodological approach to model the behavior of complex systems, where change in one compon...
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The Ultimate R Cheatsheet
The Ultimate R Cheatsheet We are developing a revolutionary new system for teaching Business Analysis with R (Business Analysis with R is a new course we are developin...
Finding insights with graph analytics
From detecting anomalies to understanding what are the key elements in a network, or highlighting communities, graph analytics reveal information that would otherwise rem...
GDPR Drives Real Time Analytics
New reforms under the General Data Protection Regulation (GDPR) started as an attempt to standardize data protection regulations in 2012. The European Union intends to ma...
What is intelligence?
This is an AI related post on the nature and philosophy of intelligence. In the various fields that study the mind, human or otherwise, there are many definitions (and la...
Machine Learning is Fun
This article was written by Adam Geitgey. Adam is interested in computers and machine learning. He likes to write about it. This guide is for anyone who is curious abou...
Digital Twins: Machine Learning & AI
Summary: Digital Twins is a concept based in IoT but requiring the skills of machine learning and potentially AI. It’s not completely new but it is integral to Gart...
Free Guide: Interpretable Machine Learning
A Guide for Making Black Box Models Explainable, by Christoph Molnar. Preface Machine learning has a huge potential to improve products, processes and research. But machi...
When Aggregates Fail
In general, any expression of performance that applies to a department can, if the data system is configured properly, be stated in relation to individual workers. For ...
Building a Data Quality Strategy
In this article I explore some of the key concepts of data quality management and how to build a strategy for continuous improvement. I won’t be covering every possible...