Pokemon Go

Looking backwards is always easy – it is looking forward and making predictions which show if your algorithm does work or might be fundamentally flawed.… Read More »The true test – predicting the unknown (Motivation Decay Part 7)

We now have a new hypothesis to test. How well does our porposed algorithm fit the data. As a quick reminder – we settled in… Read More »How to determine and correct bias in your data (Motivation Decay Part 6)

In the last part I suggested the existence of a lower bound. I used my assumed algorithm using 250 and 72 as constants to find… Read More »This Data is not Farfetch’d – Determining the Lower Bound (Motivation Decay Part 5)

In part 3 we learnt that maximum decay happens after 72 hours. This means that we have one fixed point on our curve – 10… Read More »A Discontinuous Function Wreaks Havoc (Motivation Decay Part 4)

In a time of ‘Big Data’ we tend to ignore individual data points. But sometimes they are the most crucial to further our understanding. One… Read More »The Power of a Single Data Point (Motivation Decay Part 3)

In the age of AI and automated data-mining a lot of readers might think all it takes is a good statistical fit to ‘proof’ that… Read More »Over-fitting – The Bane of all Data Mining (Motivation Decay Part 2)