7 common AI risks you face when you do a machine learning project
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Working on machine learning is about doing experiments that usually fail and hard working on data, architecture, and hyperparameters to get satisfying results. However, the road to a working solution is full of pitfalls. Therefore, I have collected for you seven AI risks to monitor when working on an AI solution.
5 quick tips on what to remember when working on your AI solution
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Do you want to create an AI solution, but don’t know how to start?
Starting AI research might be tricky, and you should avoid many pitfalls in the initial development phase.
I have prepared a short list of 5 tips to help you start working with machine learning and guide you through the research process.