logistic regression notes

[jake hofman]

here are some references for more details on logistic regression, from
last night's review.

cosma shalizi's lecture notes:

http://www.stat.cmu.edu/~cshalizi/402/lectures/14-logistic-regression/lecture-14.pdf

section 4.4 of "elements of statistical learning" by hastie, et. al.:

http://www.stanford.edu/~hastie/local.ftp/Springer/ESLII_print5.pdf

(more information on the book, including data sets, available here:
http://www-stat.stanford.edu/~tibs/ElemStatLearn )

both discuss the choice of the logistic function as well as the
maximum likelihood framework for arriving at the cost function. they
also cover newton's method and multi-class classification.

-j