Model Deployment: Moving from Lab to Production
Strategies for serving machine learning models, including batch vs. real-time, containerization, and deployment patterns.
Strategies for serving machine learning models, including batch vs. real-time, containerization, and deployment patterns.
A step-by-step guide to the Machine Learning Lifecycle, from problem definition and data collection to model deployment and monitoring.