Ai Dreams Forum
Member's Experiments & Projects => General Project Discussion => Topic started by: dyelax on May 12, 2014, 03:06:25 pm
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Hello, my AP Statistics class is doing final projects in the next couple of weeks and I'd really love to go outside the box of what we learned in class and do something cool with AI. It would need to be heavy on Bayes Statistics so I can convince my teacher it is a stats project, not just random programming stuff. I'm just starting out with AI so I'm not too familiar with different project types or what I could do here, but I'm familiar with Bayes Theorem and programming in Java, Objective-C, Python and PHP.
Any suggestions for a cool, simple project I could do? Thanks!
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What makes Random, really truly Random? Is anything really Random? Or is the result a matter of some other force or choice?
If you throw three coins into the corner of a room they bounce off of one or two wall surfaces and the floor, but are their final positions truly random or did you assist in deciding their final resting place? Could you duplicate that "Random" throw say out of five times? What about the coins? Did their faces all land up or down or mixed? Were those results Random or did you again have any measurable control over the results?
Would it still be Random if a machine tossed the coins? How were they placed in the machine? Would that affect the Randomness of the result?
Sometimes things are not always as they might seem and Random is no exception.
Just an idea that might be worth pursuing....
Statisticians usually dislike Random distributions of anything that can't be controlled.(that's why we call it Random). ;)
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Firstly, PHP for Bayesian inference would be my suggestion!
I think the probability is quite good that, that would make a cool A.I.
project. Have you anything in mind, yet?