Basic Terminology in Context – Machine learning should be treated as a culture in an organisation where business teams, managers and executives should have some basic ...
In this post, we will be visualizing survey data for the top survey question types. I’m Tyler Lubben, founder of VizualSurvey, a survey data cleaning tool that cleans ...
What is ETL? Put simply, an ETL pipeline is a tool for getting data from one place to another, usually from a data source to a warehouse. A data source can be anything fr...
I am currently exploring this idea in a paper Could your personality decide how you can collaborate with AI in future jobs? I am a strong believer in a mode where humans ...
In this article, we will examine whether the gasoline prices are related to the variables that are thought to affect gasoline prices the most by the Turkish people. One o...
by Carl Hoover, Senior Advisor, Elder Research We observe a peculiar counter-fluctuation in a COVID-19 statistic — daily percent changes in deaths; it has a downwar...
Despite their advantages, Dynamic Shiny Modules can destabilize the Shiny environment and cause its reactive graph to be rendered multiple times. In this blog post, I pre...
Introduction to 5-part practical guide on becoming a data scientist. Are you someone who: Has studied concepts of statistics, econometrics or mathematics? Loves reasoning...
Inference and prediction are two often confused terms, perhaps in part because they are not mutually exclusive. Both provide pieces of the “What is data telling me?...
In supervised machine learning algorithms, Random Forest stands apart as it is arguably the most powerful classification model. When Microsoft developed their X-box game ...