1. In terms of the representation used by the algorithm (the actual numbers stored in a file).

2. In terms of the abstract repeatable procedures used by the algorithm to learn a model from data and later to make predictions with the model.

3. With clear worked examples showing exactly how real numbers plug into the equations and what numbers to expect as output.

This approach doesn't sound useless to me. I don't think the Physics of Statistics

^{TM} is useless either. Probability is useful and the HE is miniscule, overrated and only used as an excuse not to investigate Random Bias

^{TM} and to berate system players!

If players would have put as much effort into investigating the Physics of Statistics as they do quoting the miniscule and insignificant HE to system players, they already would have understood about Random Bias

^{TM}!

Ya I am on page 8 and I am already starting to formulate the beginnings of my f(InputVector)!

I want to learn 3 things:

1) When does a hot streak start

2) When does a hot streak end

3) When does the first substantial gap occur

#3 is the most important. So, Instance #1 is GAP >= 27 and the input variables is the most difficult and important part:

a) HS Ratio (hits to spins)

b) Previous gap (<=26) history

c) Current streak (hits within the selection)

d) Current gapping (within the selection)

e) Number of current coups

f) NSP (number of total spins as a sum aggregate since a hit has been obtained by each number)

g) [Relevant data from all the other selections] <=== very large & detailed

PREDICTION can equal GAP LIKELIHOOD expressed as a percentage?

Obviously we want non-parametric algorithms.

This is a GREAT book! Thanks for sharing it!!