Introduction to Artificial Intelligence

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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

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Introduction to Artificial Intelligence

  1. 1. An Introduction to Artificial Intelligence by Kevin Shockey
  2. 2. 4 Take Aways 1. 2. 3. 4. The New Math The Exponential Phenomenon Analytics Are Our Only Hope Use Your Patterns, If Ya Got’em
  3. 3. Math is Hard ● Combinatorial Explosion n!=(n)(n-1)...(2)(1) ● Examples 5! = 120 10! = 3,628,800 100! = 9.332622e+157 200! = ?
  4. 4. Math is Hard ● Combinatorial Explosion n!=(n)(n-1)...(2)(1) ● Examples 5! = 120 10! = 3,628,800 100! = 9.332622e+157 200! = ∞
  5. 5. Math is Really Hard ● Combined Probability P(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)
  6. 6. 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
  7. 7. Exponential
  8. 8. Multiarmed Bandit
  9. 9. Analytics
  10. 10. Analytics #Bigdata
  11. 11. Patterns
  12. 12. Patterns
  13. 13. Agents
  14. 14. Inference Engine & Rule Base
  15. 15. Prediction

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