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SUMMARY:Numerical Linear Algebra - Peter Orbanz and John Cunningham (Unive
 rsity of Cambridge)
DTSTART:20100429T130000Z
DTEND:20100429T143000Z
UID:TALK24000@talks.cam.ac.uk
CONTACT:Shakir Mohamed
DESCRIPTION:Machine Learning algorithms rely fundamentally on concepts of 
 numerical mathematics.  While many software packages try to obscure the co
 mputational details underlying numerical operations\, the increasing size 
 and complexity of data sets makes it critical that researchers pay attenti
 on to numerics in their algorithms.  We will give an overview of basic con
 cepts in numerical linear algebra as they pertain to machine learning algo
 rithms.  We will also describe the computational realities of modern compu
 ters and software platforms.  Together\, these two topics will provide res
 earchers the tools to ask questions about how to improve the efficiency\, 
 run-time\, stability\, and memory usage of their algorithms.
LOCATION: Cambridge University Engineering Department\, Lecture Room 5
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