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Information Theory, Pattern Recognition and Neural Networks
Part III Physics Course: Minor option. 12 lectures.
What's new, 2009:
- Lecture times: Mondays and Wednesdays, 2pm, starting 26th January.
Pippard Lecture Theatre
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Course synopsis: | Handout 1 (2 pages postscript) |
pdf |
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Handout 2: | Handout 2 (2 pages postscript) |
pdf |
What's new, 2008:
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Course synopsis: | Handout 1 (2 pages postscript) |
pdf |
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Handout 2: | Handout 2 (2 pages postscript) |
pdf |
What's new, 2007:
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Course synopsis: | Handout 1 (2 pages postscript) |
pdf |
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Handout 2: | Handout 2 (2 pages postscript) |
pdf |
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Handout 3: | Handout 3 (1 pages postscript) |
pdf |
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PAST PAPERS:
|| Papers from 2004, 2005, 2006,
with some worked solutions (postscript)
(pdf) |
| The whole 2006 paper (pdf) |
| 2001 questions
| & solutions |
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| solutions for 2007 |
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Slides for lectures 1-12 are available on line.
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perl program for Huffman algorithm:
huffman.p
python programs for Huffman algorithm:
huffman10.py
Bent coin:
a sparse file containing N=10000 bits of which roughly 0.01 are 1s.
The main thing at this site is the free on-line course textbook
Information Theory, Inference and Learning Algorithms, (which also has its own website).
An old (2006) incarnation of this website is here
Want to ask a question?
- please click to see the FAQ about
the book,
the course,
or the software.
Want to give feedback on the book, or report typos?
Great, to ask a question about the book please use this FAQ;
to report a typo, mail me. THANK YOU!
List of corrections already reported
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Site last modified Sun Aug 31 18:51:05 BST 2014
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