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SUMMARY:An Introduction to Statistical Inference\, Data Modelling & Patter
 n Recogntion - David MacKay (Cavendish Laboratory)
DTSTART:20120528T133000Z
DTEND:20120528T160000Z
UID:TALK38387@talks.cam.ac.uk
CONTACT:Emli-Mari Nel
DESCRIPTION:Lecture 9 & 10 of a lecture series on Information Theory\, Pat
 tern Recognition and Neural Networks will be covered. Please see http://ww
 w.inference.phy.cam.ac.uk/itprnn_lectures/\n\nThis is the beginning of par
 t 2 of the lecture series\, and will mainly focus on inference algorithms\
 , briefly returning to information theory at the end.\n\nTopics that will 
 be covered (to be continued):\n\n* The likelihood function and Bayes' theo
 rem \n* Clustering as an example\n* Laplace's method\n* Monte Carlo Method
 s (I): Importance sampling\, rejection sampling\, Gibbs sampling\, Metropo
 lis method. \n\nSchedule: Two one hour lectures will be given\, with a 15 
 minute break in between. \n\nThe course used to be a Part III Physics cour
 se. Lectures will be given on Monday afternoons – some lectures might be
  canceled\, so please consult talks.cam before each lecture (at least a we
 ek’s notice will be given). All are welcome\, and encouraged to ask many
  questions.
LOCATION:Pippard Lecture Theatre\, Cavendish Laboratory
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