Simplifying Machine Learning Lifecycle Management in Healthcare

Explore a comprehensive workshop on simplifying machine learning lifecycle management in healthcare using Microsoft Azure services. Learn to create and orchestrate data ingestion pipelines, secure storage for training and inferencing data, and leverage Azure Databricks and Azure Machine Learning for feature processing. Apply AutoML for training and hyperparameter tuning, deploy models for batch and real-time predictions, and assess explainability and fairness of trained models. Gain insights into mapping healthcare business problems into ML production pipelines, utilizing the right tools, and deploying ML models at scale to accelerate business value. Witness live demonstrations of real-time waiting time prediction in hospitals and batch scoring for predicting length of stay for admitted patients. Discover best practices for creating and productionizing machine learning-based solutions in healthcare, from patient wait time predictions to training models on unstructured medical images.