A Bluffer's Guide to Dimension Reduction - Leland McInnes

PyData NYC 2018
Dimension reduction is a complicated topic with a vast zoo of diverse techniques for different specialised problems. This talk will seek to cut through the technical detail and focus on the core intuitions that lie behind dimension reduction. From this point of view we'll see that there are only really two core ideas you need to know to understand dimension reduction.
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[@psic-protosysintegratedcyb2422]

This must be the best video about dimensionality reduction of all time. Damn.

[@WithinEpsilon]

Wow, that was thorough. I can't believe I'm barely seeing this.

[@willsmithorg]

Very helpful, really clear explanations. The world needs more maths talks like this!

[@pelaus01]

on the rush of applying these techniques, I've never connected the dots. Nice "rushed" explanation :D

[@AA-gl1dr]

absolutely brilliant explanation.

[@theohlong307]

Very inspiring talk!

[@Actanonverba01]

*This topic is so easy. ;)