vml

A Visual Introduction to Machine Learning

Left: a matrix. Right: its pseudo-inverse.

This is an incomplete project! Was a good idea, though :-)

Chapters

1. Matrices — basic arrays and matrices, visualized

Viewing

You have two choices:

• Click the launch binder button above to view the chapters as interactive Jupyter notebooks. The raw source is available in notebooks/.

• Download a static rendering of the notebooks in some format. Formats are available in static/ (e.g. HTML).

Acknowledgments

Thanks to Nelson Liu for reading drafts of these chapters. Thanks to Colin Lockard, Elizabeth Clark, John Thickstun, and Lucy Lin for their feedback on preliminary versions of this material.

TODOs

• make list vs ndarray distinction more clear in notebook
• pull visualization helpers into some kinda util.py
• wrap plain text at smaller width
• investigate script (w/ jupyter?) to generate HTML
• debug Jupyter nbconvert PDF generation
• check if mybinder.org auto-builds new versions. If not, see if there's some hook (e.g. github) to do this.