Editing NBDSM
Jump to navigation
Jump to search
The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then publish the changes below to finish undoing the edit.
Latest revision | Your text | ||
Line 94: | Line 94: | ||
* [https://libgen.unblocked.srl/book/index.php?md5=AFEE8F3BEF62DC5C7A191451259AD8EB Engel - Statistical Mechanics of Learning] I haven't looked at this yet, but it seems promising. | * [https://libgen.unblocked.srl/book/index.php?md5=AFEE8F3BEF62DC5C7A191451259AD8EB Engel - Statistical Mechanics of Learning] I haven't looked at this yet, but it seems promising. | ||
* [https://libgen.unblocked.srl/book/index.php?md5=0AF108CB2FEFA5A20F7B186BC2C88656 Jaynes - Probability Theory, The Logic of Science] An excellent introduction to Bayesian reasoning and probability theory in general, from a very pedagogical, opinionated point-of-view. Dives into the motivations behind some information theory as well. | |||
= Stat Mech and Stat Inference = | |||
* [https://libgen.unblocked.srl/book/index.php?md5=AFEE8F3BEF62DC5C7A191451259AD8EB Engel - Statistical Mechanics of Learning] I haven't looked at this yet, but it seems promising. | |||
* [http://www.inference.org.uk/itila/p0.html MacKay - Information Theory, Inference, and Learning Algorithms] Link [https://libgen.unblocked.srl/book/index.php?md5=E70CC484C7FF51073859B15779162C25 here] | |||
* [https://libgen.unblocked.pub/book/index.php?md5=4CFDD37EEDB946D6E944750F746DB72B Bishop - Pattern Recognition and Machine Learning] | |||
* [https://libgen.unblocked.srl/book/index.php?md5=E4B2AB0EF22458F94C835D4D2397034E Goodfellow et al. - Deep Learning] | |||
* [https://libgen.unblocked.srl/book/index.php?md5=3E76F8F5189A047550CA9020D97848E4 Mezard - Information, Physics, and Computation] | |||
* [https://libgen.unblocked.srl/book/index.php?md5=0AF108CB2FEFA5A20F7B186BC2C88656 Jaynes - Probability Theory, The Logic of Science] An excellent introduction to Bayesian reasoning and probability theory in general, from a very pedagogical, opinionated point-of-view. Dives into the motivations behind some information theory as well. | * [https://libgen.unblocked.srl/book/index.php?md5=0AF108CB2FEFA5A20F7B186BC2C88656 Jaynes - Probability Theory, The Logic of Science] An excellent introduction to Bayesian reasoning and probability theory in general, from a very pedagogical, opinionated point-of-view. Dives into the motivations behind some information theory as well. | ||