The Philosophy of Data Science

/The Philosophy of Data Science
21st Apr, 2016

Integrity, Part 1 – The Means and the Aims

By |2018-09-17T22:11:05+10:00April 21st, 2016|Categories: The Philosophy of Data Science|Tags: , , , , , , |0 Comments

Hey! Where did 1% of my nitrogen go?

Keeping your eye on the wholeness of the question can help you see the gaps for what they truly are.

In this blog post, find out how a little reframing of your data can win you a nobel prize.

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18th Feb, 2016

“What are we trying to achieve here?”

By |2018-09-17T22:11:05+10:00February 18th, 2016|Categories: The Philosophy of Data Science|Tags: , , , , |0 Comments

If there was one question that you could use to mine the mysterious depths of your employer's mind and enable you to play nicely together, what would it be?

Asking "What are we trying to achieve here?" can save you time and energy by avoiding rework.

But you may have to be patient ... and learn another language.

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