machine learning summer school slides

Finally posting my 389-page tutorial 
"data science @ the new york times"
from last week's Machine Learning Summer School
in Arequipa, Peru ( http://mlss.cc/ )
here: http://www.slideshare.net/chrishwiggins/machine-learning-summer-school-2016

Topics include:

descriptive/predictive/prescriptive modeling
(unsupervised/supervised/reinforcement learning),
pp75-95

boosting & surrogate loss functions pp103-117

causality via generative models (p141-215)

POISE: “policy optimization via importance sample estimation” pp 147-187

connection w/causal inference & matching (p188-215)

brief intro to instrumental variables (p230-248)

bandits (p249-316)

connecting thompson sampling with generative modeling (p259-305)