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Hey /sci/, Can you please recommend good primer into machine
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Anonymous
2016-04-01 01:03:52 Post No. 7970827
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Anonymous 2016-04-01 01:03:52 Post No. 7970827 [Report]
Hey /sci/,

Can you please recommend good primer into machine learning.
It would be nice to some something that includes at least pseudocode examples, however that is not critical. What is critical though that book goes is more or less entry-level at the start, but goes at least up to and including recurrent neural network theory.

Please don't post "AI Modern Approach" meme.
Thanks in advance.
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Anonymous 2016-04-01 01:06:28 Post No.7970836
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>>7970827
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Anonymous 2016-04-01 01:06:47 Post No.7970837
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Anonymous 2016-04-01 01:06:47 Post No.7970837 [Report]
My University is a meme, so I really need your help.
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Anonymous 2016-04-01 01:10:10 Post No.7970841
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Anonymous 2016-04-01 01:10:10 Post No.7970841 [Report]
>>7970827
I did my neural net implementation based on this pseudo-book:
http://neuralnetworksanddeeplearning.com/chap1.html

It focuses on implementation rather than theory, and frankly I think I'd be better off if I treated it as a black box and used someone else's library, but it gets the very entry-level stuff out of the way. From there, you can look for something more intermediate.
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Anonymous 2016-04-01 01:14:21 Post No.7970847
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Anonymous 2016-04-01 01:14:21 Post No.7970847 [Report]
>>7970836
>>7970827
>>7970841
https://cs.gmu.edu/~sean/book/metaheuristics/
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Anonymous 2016-04-01 01:27:56 Post No.7970869
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Anonymous 2016-04-01 01:27:56 Post No.7970869 [Report]
>>7970847
>learn how to do simulated annealing, genetic algorithms, etc
>don't have a practical problem I can put these techniques to
>need to develop a portfolio before anyone will hire me for real problems
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