Bayesian filter training with N-gram
by Clay vanSchalkwijk on March 31, 2009
Bayesian filtering is based on the principle that most events are dependent and that the probability of an event occurring in the future can be inferred from the previous occurrences of that event (link). A probability value is then assigned (…)
SEO: Taking control of search
by Clay vanSchalkwijk on March 30, 2009
In my experience the majority of web agencies and developers still do not take search seriously enough. Most businesses have very simple requests, “How do I show up for keyword for people in the area”, “How do I show up (…)
Bayesian Filtering & Financial Applications
by Clay vanSchalkwijk on March 27, 2009
A friend of mine and I recently started a new project. After kicking around several ideas we finally reached a consensus on applying software prediction to financial data. This has been pursued pretty heavily but from a home brew stand (…)
That went well, what now?
by Clay vanSchalkwijk on March 18, 2009
It has been about a month now since the roll out and you can see the traffic trends rising since we started this process back in January. At the rate google is crawilng the data, the projection is that traffic (…)