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I'm a visiting lecturer at AIMS; My home is in Cambridge

This is my old homepage for 2003-4 (My latest homepage is here)

My book: Information Theory, Inference, and Learning Algorithms

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AIMS Students wishing to view the book directly without using a web-browser can use either of the following methods:

    xpdf ~mackay/public_html/itprnn/book.pdf  
    gv ~mackay/public_html/itprnn/book.ps.gz  

Optional Classes, June 2004 | Learning Styles survey
2003 Information Theory and Inference Course Summary

Other resources for students:

Programs
(Advice re octave and gnuplot)
octave/ centrallimit/
doit.m
doit2.m
doit3.m
octave/ wave/
octave/ copula/
perl/ huffman.p (instructions)
c/ readstrings.c
C tips About ups
C tutorial
gnuplot/ repetition/ gnu
gaussian/
poisson/ gnu
exponential/ gnu
tcl/ submarine
typical
tex/ Makefile prosper example
magicpoint (demo) instructions (files)
Dasher - using in French
Further software resources are in the Book's website
Exercise sheets and other documents
Exercise sheet 1
Central limit theorem and large deviation theory (postscript) | (pdf)
Probability and inference practice exercises (postscript) | (pdf)
Weighing problem, and a compression challenge (postscript) | (pdf)
Course outline for `compression week' (postscript) | (pdf)
Sketching practice exercises (page 1) (page 2)
AIMS compression challenge
Least squares line-fitting puzzle (postscript) | (pdf) . .
Swendsen-Wang algorithm (notes) (postscript) | (pdf)

 
Project ideas

AIMS: internal/computing / Debian and apt


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    Site last modified Sat Nov 15 23:26:39 GMT 2003