Real-World Machine Learning
Iker discusses the process of translating research into real products that impact patients, emphasizing the importance of working closely with oncologists. He explains their agile approach to releasing new models and the ability to hot swap models in production for continuous learning and improvement.In this clip
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Data Skeptic
ML at Sloan Kettering Cancer Center
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