Discover how to auto-train a time-series forecast model using Azure Machine Learning and Azure Databricks in this 27-minute video presentation. Learn about the enterprise-scale approach to AI/ML for industries like Supply Chain, Healthcare, Insurance, and Finance that require highly accurate forecasting models. Explore the Azure AutoML solution for efficiently building forecasting models on Azure Databricks compute, solving sophisticated business problems. Gain insights into the Azure Machine Learning + Azure Databricks approach through slides and a hands-on demo of a business problem. Understand how MLFlow for Data Science Lifecycle Management and Hyperopt for distributed model execution enhance AI/ML enterprise readiness. The presentation covers introduction, time series forecasting, architecture, demo, data import, and next steps, providing a comprehensive overview of this powerful forecasting solution.
Auto-Train a Time-Series Forecast Model with Azure Machine Learning and Azure Databricks
Databricks via YouTube
Overview
Syllabus
Introduction
TimeSeries Forecasting
Architecture
Demo
Import Data
Next Steps
Taught by
Databricks
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