Blog

The Type A vs. Type B Data Scientist
  • 3rd July, 2018
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The Type A vs. Type B Data Scientist

The data science unicorn is someone with mastery of the full spectrum of requisite skills, from pure data analysis to software engineering.

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A Big Picture View: Visualizing Climate Change
  • 26th June, 2018
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A Big Picture View: Visualizing Climate Change

There is a myriad of ways in which climate data can be represented, ranging from simple indicators and charts to interactive maps and infographics.

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When an Algorithm is in the Dock
  • 19th June, 2018
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When an Algorithm is in the Dock

Establishing criminal capacity for an infant is difficult enough. The complexity of the issue becomes much greater when the offender is an algorithm.

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Is Your Organisation in Need of a Seismic Shift?
  • 12th June, 2018
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Is Your Organisation in Need of a Seismic Shift?

Organisations still rely on intuition and non-statistical methods to make forecasts and to model customer behaviour.

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Getting to grips with the GDPR
  • 5th June, 2018
  • GDPR

Getting to grips with the GDPR

The General Data Protection Regulation establishes one single set of rules across the EU to ensure the personal data of its citizens are protected.

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Analytics and machine learning - a value framework
  • 29th May, 2018
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Analytics and machine learning - a value framework

There is often confusion about the difference between data analytics, machine learning and artificial intelligence.

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Data for Good: As two worlds collide

Data for Good: As two worlds collide

There are three main challenges to translating private sector analytic approaches, techniques and tools to non-profit development problems

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GPUs in Data Science: What’s all the hype about?
  • 15th May, 2018
  • GPU

GPUs in Data Science: What’s all the hype about?

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?

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Locking Down Your Data
  • 8th May, 2018
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Locking Down Your Data

With so many applications tightening up their data privacy policies, it is essential that data scientists do the same.

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