Explore the intersection of scientific tools and everyday understanding in this Oxford Mathematics Public Lecture. Delve into Anna Seigal's insights on reconciling complex mathematical concepts with real-world applications. Discover how key measurements and scaling processes impact various fields, from disease treatment to exam result predictions and personalized advertising. Examine the strengths and limitations of principal component analysis and other statistical methods. Gain a deeper appreciation for the nuanced relationship between advanced mathematical tools and their practical implications in our complex world.
Overview
Syllabus
Intro
a disconnect
many connections
mathematics
processing data
better and worse choices
idea: key measurement
scaling up
example: treating disease
example: exam results prediction
example: personalized advertising
principal component analysis: good or bad?
limitations of a tool
beyond principal component analysis
beyond Pearson
summary
Taught by
Oxford Mathematics
