One Does Not Simply Put Machine Learning into Production

Explore the challenges and considerations of implementing machine learning in production environments in this insightful conference talk from GOTO Copenhagen 2017. Delve into the important dimensions of accuracy, cost, maintainability, and interpretability, and understand the trade-offs between them. Learn about the technical challenges that arise when infusing existing products with machine learning capabilities or building ML-first products. Gain valuable insights from Henrik Brink, author of "Real-World Machine Learning," as he shares his expertise on successfully integrating machine learning into production systems. Discover practical strategies and best practices for overcoming obstacles and maximizing the potential of machine learning in real-world applications.