Hi. I was wondering: what book did you final settle upon? > From: "Clark Goble" <clark@xxxxxxxxx> > Date: 14 Dec 2001 02:05:27 -0600 > > I have a friend at work who wants to be able to understand better some of > the algorythms we are working on. Most of them involve Markov models, > Bayesian statistics (belief networks), and then some relatively simple inner > products for computing similarity. > > Since I learned most of my stats in physics and the rest by simply figuring > it out, I'm not sure what books to suggest for him. His background in math > is fairly basic, but he can certainly figure things out through calculus. > It seems to me that most stats is fairly simple and that half the problem is > getting a conceptual grasp and then getting the notation down. So I figure > there has to be a good primer that would help him out. He's quite smart, > but not really that mathematically minded. So probably something with lots > of examples and solved problems would be best. I looked around, but most of > the books just deal with the same old stuff, which while relavant, doesn't > quite get into Bayesian stuff that much. Most books I've found seem more > oriented on either theory or traditional stuff about bell curves. > > Any good suggestions for books? I'd like to get him a few for Christmas. > > Thanks > > Clark