Working Groups: Math for Machine Learning
Every Other Wednesday, 12:00-2:00pm

Although programming aspects of machine learning in R and Python are challenging in themselves, the need to understand fundamental mathematical aspects is obligatory.

Working Groups: Math for Machine Learning
Every Other Wednesday, 12:00-2:00pm

Although programming aspects of machine learning in R and Python are challenging in themselves, the need to understand fundamental mathematical aspects is obligatory.

May 19, 2017

This four-part intensive will introduce a suite of related technologies, centered on XML, for working with structured texts and data.  The course begins by introducing basic concepts with an exerci

May 18, 2017

This four-part intensive will introduce a suite of related technologies, centered on XML, for working with structured texts and data.  The course begins by introducing basic concepts with an exerci

May 17, 2017

This four-part intensive will introduce a suite of related technologies, centered on XML, for working with structured texts and data.  The course begins by introducing basic concepts with an exerci

May 16, 2017

This four-part intensive will introduce a suite of related technologies, centered on XML, for working with structured texts and data.  The course begins by introducing basic concepts with an exerci

May 11, 2017

This two-part workshop provides an introduction to both quantitative and qualitative social science methods.

May 9, 2017

This two-part workshop provides an introduction to both quantitative and qualitative social science methods.

May 3, 2017

Coding is done, now what? You’ve finished coding your qualitative data and now it’s time to start the “analysis” process. Where do you start?

May 1, 2017

This introductory workshop provides guidance and advice on how to prepare for qualitative data analysis whether you are using a QDA package like Atlas.TI, Dedoose, or MaxQDA, working wit

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