introduction to artificial intelligence

Post on 07-May-2015

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Looking at artificial intelligence from a big data perspective. Do we really understand the math involved in generating predictive analysis? This introduction tries to simplify artificial intelligence and how you can use it in marketing of your company

TRANSCRIPT

An Introduction toArtificial Intelligenceby Kevin Shockey

4 Take Aways

1. The New Math 2. The Exponential Phenomenon3. Analytics Are Our Only Hope4. Use Your Patterns, If Ya Got’em

Math is Hard

● Combinatorial Explosionn!=(n)(n-1)...(2)(1)

● Examples5! = 12010! = 3,628,800100! = 9.332622e+157200! = ?

Math is Hard

● Combinatorial Explosionn!=(n)(n-1)...(2)(1)

● Examples5! = 12010! = 3,628,800100! = 9.332622e+157200! = ∞

Math is Really Hard

● Combined ProbabilityP(a∩b∩...∩n) = P(a)P(b)...P(n)

● Examples P(.5) & P(.25) = P(.125)P(.01)&P(.01) = P(0.0001)P(1/2,500,000) = P(4e-7)P(4e-7)&P(4e-7) = P(1.6e-13)

Set Theory & Probabilities

● LinkedIn - 250 million users ● Twitter - 500 million users, > 350 million

tweets per day● Facebook - 1,000 million users● Internet - 2,405 million users

Exponential

Multiarmed Bandit

Analytics

Analytics #Bigdata

Patterns

Patterns

Agents

Inference Engine & Rule Base

Prediction

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