amy + statistics 68
Clustering - Introduction
january 2011 by amy
A Tutorial on Clustering Algorithms
algorithms
datamining
statistics
reference
thinkup
january 2011 by amy
Revolutions: A free book on probability and statistics with R
july 2010 by amy
A free book on probability and statistics with R - #rstats /via @paulblaser
#rstats
rstats
book
statistics
from twitter_favs
july 2010 by amy
Demographics on Flickr - Photo Sharing!
july 2010 by amy
Brien Lane. Actual demographics taken from the 1996 Australian census. The whole alleyway has been painted with statistical information - those lines are bar charts.
melbourne
statistics
demographics
art
july 2010 by amy
Google Prediction API - Google Code
may 2010 by amy
The Prediction API enables access to Google's machine learning algorithms to analyze your historic data and predict likely future outcomes. Upload your data to Google Storage for Developers, then use the Prediction API to make real-time decisions in your applications. The Prediction API implements supervised learning algorithms as a RESTful web service to let you leverage patterns in your data, providing more relevant information to your users. Run your predictions on Google's infrastructure and scale effortlessly as your data grows in size and complexity.
machine_learning
datamining
statistics
google
may 2010 by amy
My Data Mining Weblog » Watch Online Data Mining Tutorial with RapidMiner 5.0
march 2010 by amy
Watch Online Data Mining Tutorial with RapidMiner 5.0
datamining
statistics
from twitter_favs
march 2010 by amy
PeteSearch: How to split up the US
february 2010 by amy
How to split up the US: what facebook tells us about the shape of the country. More: (via @brady)
analytics
datamining
statistics
culture
geography
february 2010 by amy
StupidFilter :: Main / About
november 2009 by amy
...It's time to fight back.
The solution we're creating is simple: an open-source filter software that can detect rampant stupidity in written English. This will be accomplished with weighted Bayesian or similar analysis and some rules-based processing, similar to spam detection engines. The primary challenge inherent in our task is that stupidity is not a binary distinction, but rather a matter of degree. To this end, we're collecting a ranked corpus of stupid text, gleaned from user comments on public websites and ranked on a five-point scale.
internet
language
search
statistics
amusements
The solution we're creating is simple: an open-source filter software that can detect rampant stupidity in written English. This will be accomplished with weighted Bayesian or similar analysis and some rules-based processing, similar to spam detection engines. The primary challenge inherent in our task is that stupidity is not a binary distinction, but rather a matter of degree. To this end, we're collecting a ranked corpus of stupid text, gleaned from user comments on public websites and ranked on a five-point scale.
november 2009 by amy
CourseWiki - cs448b - Data Visualization
october 2009 by amy
Stanford course in data visualization
education
statistics
datamining
visualizations
from delicious
october 2009 by amy
James Governor
october 2009 by amy
New post by @monkchips "blew my head clean off". How many so-called “soc media experts” have read any network theory?" http://bit.ly/2hfWSc
twitter_fav
@KathySierra
books
physics
statistics
social_media
october 2009 by amy
Many Eyes
september 2009 by amy
Just realized that my old friend and information visualization wizard @wattenberg is on Twitter. Check this out: http://bit.ly/2MdMUH
datamining
discovery
twitter_fav
@alexiskold
statistics
tools
visualizations
september 2009 by amy
- - Scientific Computing World
september 2009 by amy
"Analysis is the mother of invention" - good article on models of investion and the role of statistical analysis http://bit.ly/4mVIpY
twitter_fav
@Werner
statistics
analysis
innovation
september 2009 by amy
TG Daily - Computers unlock 4,000 year old language
august 2009 by amy
It is possible to see the underlying grammatical structure of the Indus script even if the scientists don't know what each word means. Such a model is stage one for decipherment, because any meaning ascribed to a symbol must make sense in the context of other symbols that precede or follow it.
language
statistics
history
world
august 2009 by amy
open...: Open Source Cognitive Science
july 2009 by amy
R stats package and Sweave
statistics
academia
july 2009 by amy
Sustainable Energy Without the Hot Air: the Freakonomics of conservation, climate and energy - Boing Boing
april 2009 by amy
This is to energy and climate what Freakonomics is to economics: an accessible, meaty, by-the-numbers look at the physics and practicalities of energy. MacKay, a Cambridge Physics prof, approaches the subject of carbon and sustainability with a scientific, numeric eye.
books
environment
statistics
physics
climate
april 2009 by amy
GovTrack: The Political Spectrum
october 2008 by amy
svd and congressional records
statistics
politics
machine_learning
october 2008 by amy
Memeorandum Colors: Visualizing Political Bias with Greasemonkey - Waxy.org
october 2008 by amy
using svd to cluster blog political linking
politics
usa
blogging
statistics
machine_learning
cool
datamining
analysis
visualizations
october 2008 by amy
Nassim Nicholas Taleb: the prophet of boom and doom
october 2008 by amy
When this man said the world’s economy was heading for disaster, he was scorned. Now traders, economists, even Nasa, are clamouring to hear him speak
economics
statistics
society
october 2008 by amy
Statistical Aspects of Data Mining (Stats 202) Day 1
august 2007 by amy
google tech talk
statistics
videos
august 2007 by amy
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