It all starts with the perceptive
nerves. Signals are interpreted and conclusions are made, actions are taken.
Lets simplify this assume a new situation is perceived - step one compare with
past experiences - no match , do a close match , approx match - and that's what
experience is all about.
Information age is ripe
to emulate human learning. Big data, immense parallel processing grids
availability and algorithms. Algorithms that's right - termed machine learning.
It’s not an exact science but we humans are all about [not perfection] but
intelligent enough to correlate and approximate.
Regression,
Classification [Supervised] and Clustering [Unsupervised] are various methods
for learning. Supervised Learning draws from historical data while,
unsupervised methods can, charter completely unknown territories. So next
decade may see ,advent of machines providing second opinions to human judgment.
As I write my thoughts
Business houses are in process of deploying technologies to make this a
reality. Don't be surprised if next time your teller machine recognize your
mood , and provides you options accordingly. As we humans do...
