I currently started to test machine learning algorithms to predict the results of football matches. I especially tried to use neural networks. But I soon realized, that the possibilities of R regarding neural networks are a little bit limited. So I want to take a look at TensorFlow. TensorFlow is a machine learning library provided by Google, which was already used for many different use-cases and proved its suitability.
As the installation process for TensorFlow was not self-explanatory, I thought, it would be a good idea to provide a small installation guide. I want to explain, how I installed TensorFlow and the Python GUI PyCharm.
Continue reading “How To: Install TensorFlow for Windows”
In the first part of this post I described, how a Poisson distribution can be used to predict football scores and why it is not sufficient to beat the bookie. The second part will now explain, how I balanced the disadvantages of the poisson distribution. This turned the model to an efficient predictive model, which can be used to gain profit against the bookie.
Continue reading “Validate model: Poisson distribution (part 2)”
I decided to additionally share my sources, which I use to build BeatTheBookie. So everybody is able to re-use them and build his own analytical system. I added a new page to the blog, where you can find the link to the GitHub repository.
Continue reading “GitHub Repository added”