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DHSI 2014: Data Mining for Digital Humanists

Digital Humanities has become quite the buzzword of the academy in the last few years as the community recognizes the new areas of inquiry opened by this field and methodology. In order to further explore this area, I am attending the Digital Humanities Summer Institute (DHSI) at the University of Victoria. It has been quite the whirlwind! Over 600 people have congregated to learn, share and make together over a week. Wide ranges of courses are offered in areas such as TEI, GIS, networks, mapping, pedagogy, gaming and project management. I enrolled in Data Mining for Humanists.

The course has been exciting and intense. We are rapidly exploring data mining techniques such as Bayesian classification and support vector machines. The instructor has paired this with a crash course in probability that has been key to understanding the probabilistic approaches such as naive Bayes. The only drawback is that we aren’t programming along the way, which makes it difficult to move from the abstract to the hands-on. I hope we will work closer with the scikit-learn Python package we were asked to install before attending, as actually working through some data will help solidify the concepts.

On a side note, I began using IPython Notebook, which sits on your computer but runs on your browser. It allows you to easily edit, run and plot code. You can also share your notebooks easily. If you are using Python, I suggest exploring it!

Published inDigital Humanities
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