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 ...
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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 ...
What is Return Period?
Your recent vocabulary may include “100-year event” (happening more often), (drainage system designed for) “10-year storm,” and so on, courtesy mainstream media a...
Data Science of Digital Payments
Abstract – Any one working within industries like the mobility, fintech, mobile money, payments, banking or InsureTech with little knowledge of data science is actuall...
Free Book: Probability and Statistics Cookbook
The format is very similar to a BIG cheat sheet. This cookbook integrates a variety of topics in probability theory and statistics. It is based on literature and in-class...
Free Book: Probability and Statistics Cookbook
The format is very similar to a BIG cheat sheet. This cookbook integrates a variety of topics in probability theory and statistics. It is based on literature and in-class...
Data Migrations – Top 7 Pitfalls to avoid
According to Cory Janssen, Data Migration scenarios are routine IT activities, and most organizations migrate data on a quarterly basis. However, there is nothing routine...
Dummy errors when using neuralnet package in R
Ok, so you read a bunch of stuff on how to do Neural Networks and how many layers or nodes you should add, and etc… But when you start to implement the actual Neura...