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Machine learning & AI techniques - predicting the
real world
Betting markets are particularly useful when illustrating the potential of
the predictions gained when employing artificial intelligence techniques
for the following reasons.
* Data records of past sporting events are readily available.
* These data do not allow for traditional scrutiny and are often ‘noisy’.
For example, Tiger Woods may be currently regarded as the World’s
top
golfer - but he will not win every time. In all sports we know an inferior
player/team can occasionally win the day.
What the astute investor wants to know is what are the chances of
Player A or Team B.
*Betting markets, in the form of odds on offer, ensure that the chance
of each outcome have already been established and driven by market
forces. This is an excellent measure against which to compare our
predictions.
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SPECULATION
There are many areas
where the application of
machine learning
techniques can be useful.
Here we examine
aspects of the betting
and gaming markets.
uk-neural.net anticipating the future by examining the past