Nordic Data Science and Machine Learning Summit 2022 Our model stopped working! Now what? A credit card fraud multi-persona MLOPs story – Iulia Feroli, Dataiku November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 APIs: They matter more than you think in Machine Learning – Pavlos Mitsoulis, King November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 How Rovio Personalizes Angry Birds Games Using Reinforcement Learning – Ignacio Amaya de la Peña, Rovio November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 How Graph Data Science can turbocharge your Knowledge Graph – Kristof Neys, Neo4j November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Revenue Forecast for Growth Companies Using Scarce Time-Series Data – Lele Cao & Vilhelm von Ehrenheim, EQT Partners November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Become a Better Buyer — Things to think of when leveraging text analytics services – Fredrik Olsson, Gavagai November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 ML in the wild – from discovery to production – Giovanna Miritello, Vodafone UK November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Deep learning on tabular data (the world’s most common type of data); is it worth it? – Mikael Huss, Codon Consulting November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Practical lessons from ICA’s cloud migration journey – Anna Baecklund, ICA November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Algorithmic Business Models, High Frequency Trading and eCommerce – Bjorn Hertzberg, Algorete November 25, 2022
