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

Struggling to implement traditional machine learning models that deliver real business value? Join us for a hands-on exploration of classical ML techniques powered by Databricks' Mosaic AI platform. This session focuses on time-tested approaches like regression, classification and clustering — showing how these foundational methods can solve real business problems when combined with Databricks' scalable infrastructure and MLOps capabilities.

Key takeaways:

• Building production-ready ML pipelines for common business use cases including customer segmentation, demand forecasting and anomaly detection
• Optimizing model performance using Databricks' distributed computing capabilities for large-scale datasets
• Implementing automated feature engineering and selection workflows
• Establishing robust MLOps practices for model monitoring, retraining and governance
• Integrating classical ML models with modern data processing techniques