7 common AI risks you face when you do a machine learning project
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
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.
