chrishwiggins

Q: what book should i use to learn ML?

A: use several, and find the one that speaks to you.

the list below assumes you know a bit of math but
are not very mathematical, and are interested in learning
enough to be practical. that is, it is not at the
mathematical level of MIJ's alleged list
(cf. https://news.ycombinator.com/item?id=1055389 )

chrishwiggins

Q: I want to sign up for 3900 (supervised research). How many 
credits will you give me?

A: If you want to take 3900 with me, we need to come to a 
contract, and this contract needs to be closed before the start 
of the semester. The contract will stipulate: 


- Who is the scientific advisor (if not me)
- What is the deliverable (e.g., technical report, oral report)

chrishwiggins

- tukey's 1962 paper on the tension between
mathematical statistics and applied computational statistics
http://web.stanford.edu/~gavish/documents/Tukey_the_future_of_data_analysis.pdf

- william cleveland's 2001 "data science" paper
http://www.datascienceassn.org/sites/default/files/Data%20Science%20An%20Action%20Plan%20for%20Expanding%20the%20Technical%20Areas%20of%20the%20Field%20of%20Statistics.pdf

- interview w/leo breiman, heretical statistician
http://projecteuclid.org/euclid.ss/1009213290

chrishwiggins

learning mixtures of ranking models
consistency of spectral partitioning of uniform hypergraphs under
optimal rates for $k$-nn density and mode estimation
bayesian inference for structured spike and slab priors
grouping-based low-rank video completion and 3d reconstruction
tightening after relax: minimax-optimal sparse pca in polynomial
belief propagation recursive neural networks
communication efficient distributed machine learning with the
on the statistical consistency of plug-in classifiers for
distributed context-aware bayesian posterior sampling via

chrishwiggins

The Bayesian approach to model selection is a subject you'll 
like.  The basic idea is to compute the "Bayes Factor":
http://en.wikipedia.org/wiki/Bayes_factor .
As the page says "Bayesian inference has been put forward as a 
theoretical justification for and generalization of Occam's 
razor".  
( http://en.wikipedia.org/wiki/Occam%27s_razor )

The Bayes factor can be approximated under sum assumptions, 
leading to a simple penalized maximum likelihood called the 

chrishwiggins

BuzzFeed has technology at its core. 
Its 100+ person tech team has created world-class systems for 
  analytics,
  advertising, and 
  content management. 
Engineers are 1st class citizens. 
Everything is built for mobile devices from the outset. 
Internet native formats like 
  lists,  
  tweets, 

chrishwiggins

wiggins@tantanmen{algorithms}132: lynx -dump -nolist -nobold -nocolor -noreverse https://github.com/ledeprogram/courses/tree/master/algorithms | /usr/bin/perl -pe 's/[^[:ascii:]]/+/g' | tr ',:; /\. ( ) ?-"#[0-9]' '\n' | tr '[:upper:]' '[:lower:]' | grep '[a-z]' | sort -bfd | uniq -c | sort -nr | grep -v '^   1 '
  25 of
  20 literacy
  17 to
  17 in
  16 o
  16 data
  16 a
  15 algorithms
  14 the

chrishwiggins

frequently asked question:

Q: I would like to ask your advice about preparing for a role in data science

A:

my advice would be to put together a portfolio of projects, on GitHub, evidencing that you know how to

chrishwiggins

frequently asked question:

Q: I would like to ask your advice about preparing for a role in data science

A:

my advice would be to put together a portfolio of projects, on GitHub, 
evidencing that you know how to

- get data (e.g., via wget/curl)

chrishwiggins

scribd URL: http://www.scribd.com/doc/224608514/The-Full-New-York-Times-Innovation-Report


0 (cover)
1-2 executive summary
  - (general)
    3-5 introduction
      - NYT "is winning at journalism"  
      - falling behind in...the art and science of getting our journalism to readers"
    4 {graphic} vast print & digital audience