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The San Francisco Bay Area ACM runs several courses on data mining and machine learning with R. Machine Learning 101 deals primarily with supervised learning problems, and Machine Learning 102 covers unsupervised learning and fault detection. Machine Learning 101 & 102 were most recently presented by Mike Bowles & Tricia Hoffman in September, and the lecture notes and class...
The Global Historical Climate Network (GHCN) is in it’s beta stage. On of the stated goals of the project is to improve the metadata that is provided for the station data. Over the past few months several independent volunteers have been focusing on the issue of station metadata, each with their own focus. Ron Broberg 
I'll be hosting a webinar tomorrow (Wednesday) aimed at R users who want to know more about how Revolution R Enterprise extends open source R for big data, Web services, multi-core processing, debugging and more. For R users at schools and universities, I'll also explain how you can download and use Revolution R Enterprise free of charge. The full...
I'll be hosting a webinar tomorrow (Wednesday) aimed at R users who want to know more about how Revolution R Enterprise extends open source R for big data, Web services, multi-core processing, debugging and more. For R users at schools and universities, I'll also explain how you can download and use Revolution R Enterprise free of charge. The full...
The online training provider Statistics.com has three great courses based on R coming up in the next few months: Nov. 5 - Dec. 3: "Graphics in R," with Paul Murrell Nov. 20 – Dec. 18: Support Vector Machines in R" with Dr. Lutz Hamel Dec. 17 - Jan. 22: "Geostatistics in R" with Prof. David Unwin The courses take...
This past Tuesday I had the opportunity to present a short talk (a bit long) related to text mining at the Los Angeles R Users’ Group. Since I do most of my text mining in Python, I took this opportunity to discuss RPy2, an interface to R from Python. My slides are below:
Accessing R from Python...
Michael Blum and Olivier François, along with Katalin Csillery, just released an R package entitled abc. (I am surprised the name was not already registered!) Its aim is obviously to implement ABC approximations for Bayesian inference: Description The ’abc’ package provides various functions for parameter estimation and model selection in an ABC framework. Three main 
It's the Monday of the Columbus Day weekend here, so I must have been running a Chicago Marathon yesterday. Indeed -- the 34th annual Chicago Marathon took place yesterday but everything was about its 10/10/10 date. The symmetric set of numbers was i...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
