Reddit Reddit reviews Machine Learning: The New AI: The MIT Press Essential Knowledge Series

We found 1 Reddit comments about Machine Learning: The New AI: The MIT Press Essential Knowledge Series. Here are the top ones, ranked by their Reddit score.

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Machine Learning: The New AI: The MIT Press Essential Knowledge Series
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1 Reddit comment about Machine Learning: The New AI: The MIT Press Essential Knowledge Series:

u/cantgetno197 ยท 3 pointsr/DarkFuturology

>Its input is a constraint on the system, is it not? \

The input is the space being explored. For example if you wanted to generate a Linear Congruential Number Generator which has some optimal set of properties then the inputs are simply:

https://en.wikipedia.org/wiki/Linear_congruential_generator

a, c and m. So the job of the algorithm, for example, is to determine the values of a, c and m that give numbers that meet a certain criteria of "random" (does each number occur with the same frequency, is the probability of an input of, say, 3 giving a 7 as output the same as it giving a 1,2,3,4,5,6,8 or 9 (i.e. equal probability), and so on). But "a" "c" and "m" are all integers with no upper bounds and thus the search space is essentially infinity cubed.

>If it looks about right then why bother looking at the source code that is probably correct.

Well in the case of RANDU some human did eventually spot it. But then again, they only had three numbers to deal with. Imagine instead the set of all compilable codes that can be generated from random permutations on, say, all possible opcodes. I mean that would be the dumbest algorithm ever, but you get the idea. Each element (possible opcode) has a large number of options and the length of the program is effectively unbounded. If/when you get something that works well, to then go in an find WHY and HOW from tracing the random iteration and permutation is in general not possible.

>Ultimately though you make good enough points that I will be unable to rebutt until I've read more books and built more things. Perhaps you are correct that I have strong opinions about systems I don't know enough about.

This isn't a strong recommendation, but I actually got an Audible.com subscription a while ago and I noticed there was this book available:

https://www.amazon.com/Machine-Learning-Press-Essential-Knowledge/dp/B01M1I55GE/ref=sr_1_1?ie=UTF8&qid=1492023735&sr=8-1&keywords=machine+learning+audiobook

so I listened to it before bed. It's breezy, and covers a lot of the basic concepts. I'd give it a soft recommendation if you like audiobooks. You're not going to come away from it being able to write an algorithm but still, it's solid.