Its been a while between posts, but I have been busy working on our database, cleaning up some new data and also fine tuning the algorithms that we run in Azure ML that form the basis of our predictive models. We have some interesting developments coming out over the next few months, some of which really push the boundaries in terms of the technology available, especially in the field of image and video recognition using deep learning neural networks. Before we get to that po

A client asked me a question the other day which really struck home at what we are about here at Performance Genetics. After explaining how we look at horses and assess their chances of becoming a graded stakes winner, the client commented "ohh, so you are really about talent identification rather than classification...." I stopped for a minute and thought about what he was saying. Are we more interested in correctly classifying each horse, or are we more interested in identi