The data science unicorn is someone with mastery of the full spectrum of requisite skills, from pure data analysis to software engineering.
There is a myriad of ways in which climate data can be represented, ranging from simple indicators and charts to interactive maps and infographics.
Establishing criminal capacity for an infant is difficult enough. The complexity of the issue becomes much greater when the offender is an algorithm.
Organisations still rely on intuition and non-statistical methods to make forecasts and to model customer behaviour.
The General Data Protection Regulation establishes one single set of rules across the EU to ensure the personal data of its citizens are protected.
There is often confusion about the difference between data analytics, machine learning and artificial intelligence.
There are three main challenges to translating private sector analytic approaches, techniques and tools to non-profit development problems
There is a lot of hype in the world of AI and deep learning about Graphics Processing Units or GPUs. What's the hype about and are they worth it?
With so many applications tightening up their data privacy policies, it is essential that data scientists do the same.