I have the "Neural Network" Book from Bishop. It is also a good book. It puts
Neural Nets into the proper statistical framework.
Chrilly
----- Original Message -----
From: George Dahl
To: computer-go
Sent: Monday, July 23, 2007 6:37 PM
Subject: Re: [computer-go] Hint for good Bayes book wanted
I own that book and can also recommend it.
- George
On 7/23/07, Łukasz Lew <[EMAIL PROTECTED]> wrote:
Absolutely the best book I've seen is:
Christopher M. Bishop
"Pattern Recognition and Machine Learning"
It's totally awesome!
Strong points:
- It have both Bayesian and non Bayesian ways explained
- the explanation is clear
- figures are so helpful (and aesthetic)
- it concentrates on prediction and classification and have
algorithmic perspective
(contrary to MacKay's book)
There is a free chapter on graphical models:
http://research.microsoft.com/~cmbishop/PRML/Bishop-PRML-sample.pdf
Lukasz Lew
On 7/23/07, chrilly <[EMAIL PROTECTED]> wrote:
> I have a Phd in statistics. But Bayesian methods were at that time a
> non-topic. I know the general principles, but I want to learn a little
bit
> more about the latest developments in the field. Bayes is now chic, there
> are many books about it. I assume also a lot of bad ones.
> Can anyone recommend me a good state of the art book about Bayesian
> inference. Should be somewhat in the applied direction, but also with a
> sound mathematical background.
>
> Chrilly
>
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