Machine Learning

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Statistical Data Mining Tutorials

http://www.autonlab.org/tutorials/ Advertisment: In 2006 I joined Google. We are growing a Google Pittsburgh office on CMU's campus. We are hiring creative computer scientists who love programming, and Machine Learning is one the focus areas of the office.

Launch of the Kaggle Data Science Wiki | No Free Hunch

http://blog.kaggle.com/2012/05/02/launch-of-the-kaggle-data-science-wiki/ Our new Kaggle developer, Adam Kennedy, introduces the new Kaggle Wiki: The Kaggle Public Wiki launches today in Beta. We have built it from the ground up to support the odd mix of science, math and code that makes our sport unique.
Description Machine Learning methods have found their way into the modern data analyst's toolbox. This course introduces popular methods with an emphasis on their practical usage for data analysis.

Practical machine learning: methods and algorithmics

http://www.cbcb.umd.edu/~hcorrada/PracticalML/
http://mloss.org/about/

About

Background Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems.
http://blog.wolfram.com/2012/02/09/launching-a-democratization-of-data-science/

Blog : Launching a Democratization of Data Science

It’s a sad but true fact that most data that’s generated or collected—even with considerable effort—never gets any kind of serious analysis.

PURDUE Machine Learning Summer School 2011 - YouTube

http://www.youtube.com/playlist?list=PL2A65507F7D725EFB The location filter shows you popular videos from the selected country or region on lists like Most Viewed and in search results.To change your location filter, please use the links in the footer at the bottom of the page.
Sentiment Analysis

Designing and implementing efficient and provably correct parallel machine learning (ML) algorithms can be very challenging. Existing high-level parallel abstractions like MapReduce are often insufficiently expressive while low-level tools like MPI and Pthreads leave ML experts repeatedly solving the same design challenges. http://graphlab.org/

GraphLab: A New Parallel Framework for Machine Learning

LingPipe: Sentiment Analysis Tutorial

What is Sentiment Analysis? http://alias-i.com/lingpipe/demos/tutorial/sentiment/read-me.html
In the week before the Belgian 2010 elections, we analyzed approximately 7,600 tweets that mentioned the name of a Belgian politician.

Belgian elections, June 13, 2010 - Twitter opinion mining | CLiPS

MBSP for Python | CLiPS

MBSP is a text analysis system based on the TiMBL and MBT memory based learning applications developed at CLiPS and ILK .

Pattern | CLiPS

Pattern is a web mining module for the Python programming language. It bundles tools for data retrieval (Google + Twitter + Wikipedia API, web spider, HTML DOM parser), text analysis (rule-based shallow parser, WordNet interface, syntactical + semantical n-gram search algorithm, tf-idf + cosine similarity + LSA metrics), clustering and classification (k-means, KNN, SVM), and data visualization (graph networks). Pattern is written for Python 2.4+ (no support for Python 3 yet).
Clustering