How To: Install TensorFlow for Windows

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.

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Analytical Architecture: TripleA DWH

As described in How to beat the bookie: Value Betting I want to use Value Betting to beat the bookie. To identify value, I have to be able to calculate the probability of a specific sports event (e.g. Home-Win for Team A) as accurately as possible. Therefore, I want to develop, test, simulate and process different predictive models.  As a DWH architect I know, that a good system architecture helps a lot to support such a developing process. That’s why I formed the concept of the TripleA DWH – the Advanced Agile Analytical Data Warehouse.

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How to beat the bookie: Value Betting

There are many ways to beat a bookie. One of the well known methods is arbitrage betting, where you try to find price differences between different bookies. Some years ago this was a really good method, but today, as every single information about sports is available throw the internet, it is hard to find difference between bookies.

I will mainly focus on the so-called Value Betting. But what is Value Betting and how does it work?

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