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

1. An Introduction to
Artificial Intelligence
by Kevin Shockey

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. Math is Hard
● Combinatorial Explosion
n!=(n)(n-1)...(2)(1)
● Examples
5! = 120
10! = 3,628,800
100! = 9.332622e+157
200! = ?

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. 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. 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. Exponential

9. Multiarmed Bandit

10. Analytics

11. Analytics #Bigdata

12. Patterns

13. Patterns

14. Agents

15. Inference Engine & Rule Base

16. Prediction