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Hands-On Artificial Intelligence on Amazon Web Services
book

Hands-On Artificial Intelligence on Amazon Web Services

by Subhashini Tripuraneni, Charles Song
October 2019
Intermediate to advanced content levelIntermediate to advanced
426 pages
10h 8m
English
Packt Publishing
Content preview from Hands-On Artificial Intelligence on Amazon Web Services

Exploratory data analysis

Although there are 45 stores, we will select one store, store number 20, to analyze performance across different departments across three years. The main idea here is that, using DeepAR, we can learn the sales of items across different departments.

In SageMaker, through Lifecycle Configurations, we can custom install Python packages before notebook instances are started. This eliminates the need to manually track packages required before the notebooks are executed.

For exploring the retail sales data, we will need the latest version, 0.9.0, of seaborn installed.

In SageMaker, under Notebook, click on Lifecycle Configurations:

  1. Under Start notebook, enter the command to upgrade the seaborn Python package, as shown: ...
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Publisher Resources

ISBN: 9781789534146Supplemental Content