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Predictive Analytics

1. The machine actually learns more about your next likely action by studying others than by

studying you.

2. From grand challenges are born great achievements.

3. What’s predicted? What’s done about it?

4. A little glimpse into the future gives you power because it gives you options.

5. Either way prediction serves to drive decisions.

6. Individualization trumps universals.

7. You actually notice the impact when you examine an aggregated report.

8. It takes characteristics of an individual as input and provides a predictive score as an output.

9. They consider the various factors of an individual in order to derive a single predictive score for

that individual.

10. All predictive models are a kind of reverse engineering to begin with.

11. Every new beginning comes from some other beginning’s end.

12. Black Box quants.

13. Inefficiencies are what traders live for. A perfectly efficient market can’t be played, but if you can

identify the right imperfection, it’s payday.14. A narrow focus is key to the success of many businesses and sometimes the opposite; diversity.

15. Prediction snoops into your private future.

16. Predictive modelling process learns from training examples, both positive and negative.

17. How the elements weigh in relative to one another, how they combine or interact, and which

should be eliminated.

18. Various estimates agree there are more chess games than atoms in the universe, a result of the

nature of exponential growth.

19. If you prevent something, how can you be certain it was ever going to happen?

20. It’s not what an organization comes to know; it’s what it does about it.

21. Size does not matter; it is the rate of expansion. There’s always so much more today than

yesterday. Size is relative not absolute.22. Everything is connected to everything else- if only indirectly- and this is reflected in data.

23. It’s always a behavior we seek to predict, and indeed behavior predicts behavior.

24. Our thinking is malleable- people readily find underlying theories to explain just about anything.

25. In particular emotional intensity is relative. It’s the change in intensity that tells us something.

26. Emotion is the goose that lays the golden eggs, hatching stock market movements- but not the

other way round.

27. Science and money must learn to co-exist.

28. A decision tree is a nested if else statement, flowchart with no loops.

29. If there are ways in which human behavior follows patterns, the patterns can’t escape undetected.

30. Induction- details to general.

31. Life finds a way.32. The rarest things in life are hardest to predict.

33. With prediction, risk becomes opportunity.

34. Competition paradoxically breeds cooperation.

35. By coming together as groups our limited capacity as an individual is overcome.

36. Natural language processing.

37. The power to push really hard does not necessarily mean you’re pushing in the right direction.

38. There is no such thing as human error. Only system error.

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39. To influence to persuade.

40. Uplift model-> predicts the influence on an individual’s behavior that results from applying one

treatment over another.

41. Influence cannot be observed. We can never witness an individual case of persuasion with

complete certainty.

42. We have to find a way making the important measurable, instead of making the measurableimportant.

43. Who will buy if contacted? Who will buy because they were contacted?