4 months ago
James Liu , Likes to develop games :)
*6* votes by Sabrine Rekik , Patricia
Troyer , Sagar
*Machine Learning* is designed to *optimize* problems which are not obvious
or not solvable by human deduction alone (or we can’t do it fast enough to
make it worth the effort).
Introduce *Zid**,* a happy-go-luck-does-only-what-you-allow-it-to-do *robot*
* **chicken*. You are *Zid*’s master, and it worships your very existence.
As *Zid*’s master you have the ability to allow *Zid* to experience extreme
existential satisfaction to exist along side you. You also have the
ability to have *Zid*experience great remorse.
Human Happiness is a problem that is not solved and not obvious. *Zid* will
try a slew of things to make you happy. Some will fail… most will fail
miserably…. *but once it begins to learn* (i.e. receives score points),
it can begin to maintain a long-term sustained optimized score.
The difference to highlight here is that Machine Learning can be used to
evaluate problems with a changing data-set or changing target goals.
Maybe last year you loved getting a beer at 5pm everyday, but this year you
prefer it to be at 6pm. *Zid* should be programmed with a set of algorithms
that will look for optimal, and then begin to perform boundary tests to try
and achieve higher and higher scores.
One day *Zid* will bring you a Poo. You need to make sure you subtract
points for this… and make sure you don’t laugh or smile…
Replace *Zid* with Website
Replace Beer with Notification
Replace You with Users
Replace Points with User Engagements
“Website gives you a notification at 5pm, but people don’t prefer it at