Ensemble machine learning methods combine the power of several different algorithms into a single algorithm with the aim of achieving higher predictive power than any of the constituent algorithms.
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This presentation will cover the basics of natural experiments, along with providing two applications involving international sporting events.
This workshop will cover the main types of weighting, to correct for bias in sample data.
This workshop will cover the basic principles and methods of sampling. Topics will include a discussion of the various types of samples, the creation of sampling frames, the use of stratification
This is a beginner tutorial for creating vector map illustrations in Adobe Illustrator.
This workshop will give users a familiarity with various automated text analysis approaches including dictionary methods, classification (machine learning), TF-IDF, clustering, and topic modelling.
This workshop will cover how to add geographic coordinates to address data. This is useful for creating maps, linking to other geospatial data, or finding distances between points.
The Unicode Working Group presents:
Emoji in Unicode: Its History and Future - from Galapagos Mobile to the World
A talk with Katsuhiko Momoi.
**Note: This workshop was rescheduled from Tuesday, April, 21 to Thursday April 30, 2015 **
An intro to the basics that instructors often assume you know, but that you probably never had good instruction on!