From creating novel solutions for parking airplanes or identifying the winning formula for single malt whiskeys, our colleagues at Fourkind have extensive experience in building machine learning systems. Here, Max Pagels and Jarno Kartela highlight why deploying ML is different, how edge cases can confound well-trained models and the unexpected areas where ML can deliver better than human-levels of performance.
