Recently we read a lot about fake news, alternate facts and journalism lies. Companies like Facebook develop data science algorithms to detect these postings, based among… Read More »The Twilight Zone Between True and False
Guest blog post by Wale Akinfaderin, PhD Candidate in Physics. In the last few months, I have had several people contact me about their enthusiasm for… Read More »The Mathematics of Machine Learning
From a simple limo hailing app for friends to the world’s go-to taxi app. Uber’s growth in the approximately 7 years of existence can be… Read More »How Uber Depends on Data Analytics to Deliver Extreme Customer Service – Face To Face With Uber’s Chief Data Architect
Summary: In our recent article on “5 Types of Recommenders” we failed to mention Indicator-Based Recommenders. These have some unique features and ease of implementation… Read More »Indicator Based Recommenders – The One We Missed
If you’re interested in the field of analytics, you’ve probably heard the terms Data Engineering and Data Science, but do you know the difference? Although… Read More »Data Engineering vs. Data Science Infographic
We are dealing with plethora of data and information in the world today and expectation is to predict and forecast how we can gain competitive… Read More »Selecting Forecasting Methods in Data Science
Introduction There are endless discussions on the databases arena about which DBMS is best suited for operational or data warehousing analytics, which one is the… Read More »A Quick Guide on How to Prevail in the Graph Database Arena
“Ambiguity is pervasive” – true to its definition, as increasingly data getting generated, system connectivity reaching its peak, data and outcome are diverging. IT systems… Read More »A Discussion: IT Data, Ambiguities & Classification model performance
Today, more than ever before, organisations realise the strategic importance of data and consider it to be a corporate asset that must be managed and… Read More »Designing the Data Management Infrastructure of Tomorrow
There is no need to get confused with multiple linear regression, generalized linear model or general linear methods. The general linear model or multivariate regression… Read More »Linear Models Don’t have to Fit Exactly for P-Values To Be Accurate, Right, and Useful
