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A Bluffer's Guide to Dimension Reduction - Leland McInnes 

PyData
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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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7 июл 2024

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Комментарии : 7   
@psic-protosysintegratedcyb2422
This must be the best video about dimensionality reduction of all time. Damn.
@willsmithorg
@willsmithorg 2 года назад
Very helpful, really clear explanations. The world needs more maths talks like this!
@WithinEpsilon
@WithinEpsilon 11 месяцев назад
Wow, that was thorough. I can't believe I'm barely seeing this.
@pelaus01
@pelaus01 Год назад
on the rush of applying these techniques, I've never connected the dots. Nice "rushed" explanation :D
@AA-gl1dr
@AA-gl1dr 8 месяцев назад
absolutely brilliant explanation.
@theohlong307
@theohlong307 2 года назад
Very inspiring talk!
@Actanonverba01
@Actanonverba01 Год назад
*This topic is so easy. ;)
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