Explore an enterprise approach to large-scale time-series forecasting using Azure Machine Learning and Azure Databricks in this 54-minute webinar. Learn how to efficiently build accurate forecasting models for supply chain, healthcare, insurance, and finance applications. Discover the power of AutoML for solving sophisticated business problems and see a hands-on demonstration of building a forecasting model in Azure Databricks using Azure Machine Learning. Gain insights into MLFlow for Data Science Lifecycle Management and Hyperopt for distributed model execution, completing the AI/ML enterprise readiness for industry problems.
Auto-Train a Time-Series Forecast Model with AML & ADB
Overview
Syllabus
Introduction
About me
Agenda
Timeseries forecasting
Azure Machine Learning
Solution Accelerators
Code Generation
Hyperparameters
Compute
Better Together Architecture
Incoming Data
Data Distribution
Data Operations
Demo Overview
Univariate Time Series
ADB Setup
Compute Cluster Setup
Data Setup
Forecast Period
Training Setup
Running the Model
Enabling Advanced Training
Many Model
Many Model Config
Many Model Example
Model Run
Inference
Notebooks Repository
Next Steps
Taught by
Open Data Science
