The Mathematics of Machine Learning
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 venturing into t...
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How Uber Depends on Data Analytics to Deliver Extreme Customer Service – Face To Face With Uber’s Chief Data Architect
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 described by one word, “Phe...
Indicator Based Recommenders – The One We Missed
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 impleme...
Data Engineering vs. Data Science Infographic
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 th...
Selecting Forecasting Methods in Data Science
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 advantage based on the info...
A Quick Guide on How to Prevail in the Graph Database Arena
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 most eff...
Designing the Data Management Infrastructure of Tomorrow
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 protected just like ...
Linear Models Don’t have to Fit Exactly for P-Values To Be Accurate, Right, and Useful
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 ...
How Big Data can Help Community Banks
Big Data tools not only simplify lengthy analytical procedures in any industry, but they also provide a competitive advantage to banks. With new regulations, banks are lo...
Behavioural Biometrics, IoT and AI
Background Biometrics is defined as the science of establishing the identity of an individual based on physical, chemical or behavioural attributes of the person. We see ...