Model Optimization Strategies
Mircea discusses the balance between model accuracy and practical application, emphasizing the importance of confidence scores over sheer performance metrics. He explains that while automl techniques are implicitly used, the focus is on delivering a model that effectively fine-tunes to customer data. The trade-off between overall performance and reliability is crucial, as clients prioritize models that indicate when human intervention is necessary.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Mircea Neagovici — Robotic Process Automation (RPA) and ML
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