B
Brendan O'Connor
anyall.org · Personal blog · on HN since 2008
Brendan O'Connor is a natural language processing researcher who writes about statistics, machine learning, data tools, and Awk.
What HN saysHN links his post comparing statistics and machine learning vocabulary, his Awk speed post, and his list of probabilistic modeling languages.
16HN people shared it
6linked it in comments
13stories submitted
172story points
16 years agolast shared
2008people per year2026
Most-shared posts
- 1Statistics vs. Machine Learning, fight4 people · 53 points · first shared 2009 · 4 comments on HN
- 2Don't MAWK AWK - the fastest and most elegant big data munging language4 people · 37 points · first shared 2009 · 22 comments on HN
- 3Comparison of data analysis packages: R, Matlab, SciPy, Excel, SAS, SPSS, Stata2 people · 37 points · first shared 2009 · 9 comments on HN
- 4Performance comparison: key/value stores for language model counts2 people · 16 points · first shared 2009 · 12 comments on HN
- 5List of probabilistic model mini-language toolkits2 people · 11 points · first shared 2009 · 3 comments on HN
- 6Please report your SVM’s kernel1 people · 7 points · first shared 2011 · discussion on HN
- 7Seeing how “art” and “pharmaceuticals” are linguistically similar in web text1 people · 6 points · first shared 2009 · discussion on HN
- 8Cheat sheet for Scala syntax1 people · 3 points · first shared 2009 · 1 comments on HN
- 9Where tweets get sent from1 people · 1 points · first shared 2009 · discussion on HN
- 10TweetMotif for summarizing twitter topics with a dash of NLP1 people · 1 points · first shared 2009 · discussion on HN
- 11Blog1 people · first shared 2009
- 12It is accurate to determine a blogs bias by what it links to1 people · first shared 2008
What HN people wrote when they linked it
bravura · 2009-08-06
Or, instead of statistics, you could study it's sister field: Machine Learning.
Robert Tibsharani provides the following comparative glossary for machine learning and statistics:
http://anyall.org/blog/2008/12/statistics-vs-machine-learning-fight/
Glossary
Machine learning Statistics
network, graphs model
weights parameters
learning fitting
generalization test set performance
supervised learning regression/classification
unsupervised learning density estimation, clustering
large grant = $1,000,000 large grant= $50,000
nice place to have a meeting: nice place to have a meeting:
Snowbird, Utah, French Alps Las Vegas in August
joshu · 2008-10-11
I'm surprised the techcrunch article got more points than the original writeup at http://waxy.org/2008/10/memeorandum_colors
I'm also pretty dissapointed this gets credited to me when it was mostly Andy's idea (I just did some math.)
Brendan O'Connor did a correlation between our output and a website that uses humans to measure skew at http://anyall.org/blog/2008/10/it-is-accurate-to-determine-a-blogs-bia… which is pretty great. As a statistics and collective intelligence behavior junkie, his blog is pretty good reading, btw.
brendano · 2010-12-06
There have been several systems that probabilistically extend Prolog or do something similar. I'm not aware of any that do those things specifically, though. Here's a list of some that I made a bit ago:: http://anyall.org/blog/2009/12/list-of-probabilistic-model-mini-langua…
goosemo · 2010-09-29
You might want to rethink that a bit:
http://anyall.org/blog/2009/09/dont-mawk-awk-the-fastest-and-most-eleg…
jimbokun · 2010-08-30
Also, tools like Awk and friends can be ridiculously fast and concise.
http://anyall.org/blog/2009/09/dont-mawk-awk-the-fastest-and-most-eleg…
gtani · 2009-09-30
in my google reader:
http://blog.revolution-computing.com/
http://learnr.wordpress.com/
http://www.decisionstats.com/
http://anyall.org/blog/
--------------------------
http://ask.metafilter.com/116762/Rrrrrgh
http://alittleknowledge.wordpress.com/2009/09/11/r-for-pedestrians/
and some portals:
http://planetr.stderr.org/
http://info.smu.edu.sg/rsite/