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find . | grep '\.py' | grep -v -e '/venv/' -e '(' -e ')' | xargs -I % grep import % | sed -e 's/^[ ]*//' | grep -e '^from ' -e '^import ' | awk '{print $2}' | sed -e 's/^[\.]*//' | cut -d\. -f1 | tr '[A-Z]' '[a-z]' | sed -e 's/,$//' | sort -bfd | uniq -c | sort -nr | grep -n -e numpy -e scipy -e matplotlib -e ipython -e pandas -e sympy -e nose | tr ':' '\t'
find . | grep '\.py' | grep -v -e '/venv/' -e '(' -e ')' | xargs -I % grep import % | sed -e 's/^[ ]*//' | grep -e '^from ' -e '^import ' | awk '{print $2}' | sed -e 's/^[\.]*//' | cut -d\. -f1 | tr '[A-Z]' '[a-z]' | sort -bfd | uniq -c | sort -nr | head -20
---------- Forwarded message ----------
From: chris wiggins <chris.wiggins@[YYY].edu>
Date: Wed, Aug 1, 2012 at 7:26 PM
Subject: stats history
To: hadley@[XXX].edu
Cc: chris wiggins <chris.wiggins@[YYY].edu>
Dear Hadley:
nice NPR story illustrating a conceptual and methodological
difference between AI and ML, using some of the more
press-grabbing, (human) game-beating systems:
http://www.npr.org/blogs/alltechconsidered/2015/01/08/375736513/look-out-this-poker-playing-computer-is-unbeatable
this story's pretty interesting in general but one particular
part grabs my attention:
Oren Etzioni, the head of Seattle's Allen Institute for
Q: what are "single tree-based" (as opposed to forest-based) supervised learning methods?
A: some of my favorites:
- ADT
+ wiki: http://en.wikipedia.org/wiki/Alternating_decision_tree
+ ref: http://perun.pmf.uns.ac.rs/radovanovic/dmsem/cd/install/Weka/doc/classifiers-papers/trees/ADTree/atrees.pdf
- rpart in R
+ http://cran.r-project.org/web/packages/rpart/vignettes/longintro.pdf
FAQ:
where are some fun datasets to play with?
1. CMU:
http://lib.stat.cmu.edu/datasets/
2. UCI:
a) MLR@UCI (machine learning repository / machine learning archive )
For current information please
- see http://modelingsocialdata.org/ and
- follow @CUSocialData ( https://twitter.com/CUSocialData )
official bulletin URL:
http://www.columbia.edu/cu/bulletin/uwb/subj/APMA/E4990-20151-001/