Traditional ML at Scale - Implementing Classical Techniques With Databricks Mosaic AI

Explore how to implement traditional machine learning models at scale using Databricks' Mosaic AI platform in this 41-minute conference talk. Learn to build production-ready ML pipelines for common business use cases including customer segmentation, demand forecasting, and anomaly detection using time-tested approaches like regression, classification, and clustering. Discover how to optimize model performance through Databricks' distributed computing capabilities for large-scale datasets, implement automated feature engineering and selection workflows, and establish robust MLOps practices for model monitoring, retraining, and governance. Master the integration of classical ML models with modern data processing techniques while leveraging Databricks' scalable infrastructure to deliver real business value through foundational machine learning methods.