introduction to artificial intelligence
DESCRIPTION
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 companyTRANSCRIPT
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