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/sci/ - Science & Math

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10262775 No.10262775[DELETED]  [Reply] [Original]

OK, firstly, I just wanna say FUCK YOU /sci/.

Now, additionally. Here's your butt which you need so desperately.

In the second post there will also be some boobs for those of you who "bend that way" so click the fucking thread you pathetic excuse for organic matter.

OK, now that that's over with. I need a good book about machine learning. I'm trying to get some good mathematical grasp on the subject so rigor is important.

tl;dr: I need a good rigorous mathematical book dealing with machine learning

>> No.10262778
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10262778

>> No.10262784

>>10262775
BRRRRAAAAAAAAAAPPPPP

>> No.10262785

BRAAAAAAAAAAAAAP

>> No.10262787

>>10262775
How did I end up in here?

>> No.10262797

>>10262785
BRRRRRRRRAAAAAAAAAAAAAAPP?

>> No.10262799

>>10262775
You're welcome:
>http://4chan-science.wikia.com/wiki/Computer_Science_and_Engineering#AI.2C_Machine_Learning.2C_and_Computer_Vision

>> No.10262819

Depends on what you mean by machine learning. 'Foundations of Machine Learning' by Mohri et al. is a good book that focuses on statistical learning theory (PAC learning, generalisation bounds etc.)

If you want a book that introduces machine learning concepts and algorithms, I've only read Bishop. Is that good enough? I don't know what you mean by rigorous exactly. More rigorous than a graduate-level course from <your favourite institution>?

>> No.10262834

>boobs for those of you who "bend that way"
Are you implying boobs-guys are gay? Because butts are literally nigger-tier.
Also, you should ask /g/.

>> No.10262858

>>10262775
The classic intro text is "Pattern Recognition and Machine Learning" by Christopher Bishop. Should be available for free online. It was recommended to me by my PhD co advisor who has a crazy h index.