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 series will focus on how to set up database-like structures, navigate them, create models and build various types of reports in Microsoft Excel.

May 10, 2017

This two-part series will focus on how to set up database-like structures, navigate them, create models and build various types of reports in Microsoft Excel.

May 10, 2017

Git is a powerful tool for keeping track of changes you make to the files in a project.

May 2, 2017

This workshop covers how to organize and analyze qualitative data in MaxQDA.

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