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1
Introduction
2
About me
3
Agenda
4
Timeseries forecasting
5
Azure Machine Learning
6
Solution Accelerators
7
Code Generation
8
Hyperparameters
9
Compute
10
Better Together Architecture
11
Incoming Data
12
Data Distribution
13
Data Operations
14
Demo Overview
15
Univariate Time Series
16
ADB Setup
17
Compute Cluster Setup
18
Data Setup
19
Forecast Period
20
Training Setup
21
Running the Model
22
Enabling Advanced Training
23
Many Model
24
Many Model Config
25
Many Model Example
26
Model Run
27
Inference
28
Notebooks Repository
29
Next Steps
Description:
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

Open Data Science
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