機械学習面白本紹介。

https://www.inf.ed.ac.uk/teaching/courses/nlu/assets/reading/Gurney_et_al.pdf

https://web.stanford.edu/group/pdplab/pdphandbook/handbook.pdf

projecteuclid.orgこれは論文か。

https://uwspace.uwaterloo.ca/bitstream/handle/10012/12173/caterini_anthony.pdf?sequence=3&isAllowed=y

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.335.3398&rep=rep1&type=pdf

https://pdfs.semanticscholar.org/50d0/b40dba348d8651b24ae0ae6c27200dbf0716.pdf

https://www.amazon.co.jp/Make-Your-Neural-Network-English-ebook/dp/B01EER4Z4G/ref=tmm_kin_swatch_0?_encoding=UTF8&qid=&sr=

これはkindleunlimitedで読める。

http://www.cs.toronto.edu/~hinton/absps/naturebp.pdf

これを書いたDavid Rumelhartは多くの貢献をした。日経の人なぜ取り上げなかった？

Gateway to Memory: An Introduction to Neural Network Modeling of the ... - Mark A. Gluck, Catherine E. Myers - Google Books

この本も面白い。

https://web.stanford.edu/~hastie/StatLearnSparsity_files/SLS_corrected_1.4.16.pdf

https://vuquangnguyen2016.files.wordpress.com/2018/03/applied-predictive-modeling-max-kuhn-kjell-johnson_1518.pdf

https://web.stanford.edu/~hastie/Papers/ESLII.pdf

これらもそうだ。