DevShed has a new article posted today for all of those interested in a better way to filter out information/spam messages from your data - Implement Bayesian inference using PHP, Part 1 .
In this first part of the series they introduce what a Bayesian interface is as well as a few other key concepts (such as Conditional probability).
For a Web developer, a constructive understanding of Bayesian inference means that you are able to see how Bayesian inference can be applied to the Web development problems you are facing. To achieve this level of understanding, a developer cannot be content to simply study a few examples of how the relevant math formulas work; he must also: See how these math formulas might be distilled into software routines, and Determine how these mathematical software routines can be integrated into interesting Web applications.
Quite a few people see Bayesian filtering as the end-all be-all of methods to sekk out the info you need. However, what it boils down to is how you "teach" the filter...




