Neural Nets

I wanted to take a moment and say thanks to Tibor, one of my 12 readers, for forwarding me some really interesting research papers on modeling NFL and NBA games with neural nets. There are some really good nuggets of information in those papers, especially the discussion on setting the right momentum and learning rates. I used that information to fiddle around with my neural net model and I'm posting some recent results from my DRAFT NFL neural net point spread model.  As you can see, the model is pretty good at determining if the home or visiting team will win (a negative sign means the home team wins) but the predicted spreads are way off relative to actual spreads. ...

Yes you read that right, I'm working on a new set of RapidMiner tutorial posts (I'm bagging the videos for now). I hope to share with my readers two new tutorials over the coming weeks/months and I expect to post the first installment this week. The first tutorial will be about using RapidMiner's Evolutionary Weighting and Genetic Algorithms to build a Market Timing Model. This tutorial will follow the same methodology I used to build my S&P500 Market Timing Model. If you ever wondered how to build a timing model using RapidMiner then make sure to check back often for these free and valuable lessons. ...