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SUMMARY:Dimensionality Redution - Seewon Choi\, Murray Edwards College
DTSTART:20210224T193000Z
DTEND:20210224T200000Z
UID:TALK157657@talks.cam.ac.uk
CONTACT:Matthew Ireland
DESCRIPTION:We are moving towards a society where data is the most valuabl
 e asset and crucial business strategy. It is the potential power of data t
 hat encourages and pressures better use. In a world where every action is 
 essentially a new piece of data\, the main task is efficiently processing 
 and extracting only the useful bits. Among the various strategies\, reduci
 ng the dimension of the dataset is worth considering. This talk will intro
 duce the concept of dimensionality reduction and discuss various methods i
 ntended for use in different contexts.
LOCATION:Online\, via MS Teams
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