calstad

Quick List of Resources for Topological Data Analysis with Emphasis on Machine Learning

This is just a quick list of resourses on TDA that I put together for @rickasaurus after he was asking for links to papers, books, etc on Twitter and is by no means an exhaustive list.

Survey Papers

Both Carlsson's and Ghrist's survey papers offer a very good introduction to the subject

• Topology and Data by Gunnar Carlsson
• Barcodes: The Persistent Topology of Data by Robert Ghrist

Other Papers and Web Resources

• Extracting insights from the shape of complex data using topology A good introductory paper in Nature on the Mapper algorithm.

mlgill

# Two very basic functions for searching just the input code of an IPython notebook
# Written because I often want to search notebooks for snippets but the giant output
# of embedded encoded images makes it difficult.

# Ipython's nbconvert can be used to extract just the input, but this requires 
# writing to a separate file and can be quite slow when used with large notebooks.
# Additionally, find/xargs can be used with igrep when the name of the notebook isn't known.

# icat could be used to convert an IPython notebook to a standard python file if 
# the notebook does not contain whole-cell magics.