|Sunday May 22, 2016 11:00 AM - Sunday May 22, 2016 2:00 PM | $125.00
Visualizing high-dimensional data
This class will introduce techniques for analyzing, organizing, and visualizing high-dimensional data in 2D. Case examples will include gridding a collection of images pre-analyzed by a neural network (in openFrameworks and python), and clustering Wikipedia articles based on content analysis (in python).
In the process of generating these, we will introduce convolutional neural networks, tf-idf matrices for text processing, and the t-SNE dimensionality reduction algorithm.
See here (http://alt-ai.net/www.genekogan.com/works/wiki-tSNE) and here (https://www.flickr.com/photos/genekogan/24873243915/in/dateposted-public/) for example projects.
There are student discount tickets available, please email 'firstname.lastname@example.org' for more information.
To prep for the class please install xcode (https://developer.apple.com/xcode/download/) or visual studio (https://www.visualstudio.com/en-us/visual-studio-homepage-vs.aspx) for coding and download openframeworks (http://openframeworks.cc/)
School for Poetic Computation (View)
155 Bank St
New York, NY 10014
|Kid Friendly: No|
|Dog Friendly: No|
|Wheelchair Accessible: No|