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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Customer Segmentation
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By: Peak Latest Version: 1

Product Overview

Customers have different needs and behaviours. By grouping together those that are similar, you can adapt your approach to suit those differences. You can do this by targeting the customers who provide maximum value, encouraging new habits in those who cost you and tailoring your service to the different ways people use it. This algorithm will take a list of your customers, and returns an overview of optimally defined segments, as well as a model object that can be used to classify new customers live or by batch.

Key Data

Version
By Peak
Categories
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Support Information

Customer Segmentation

For support using this algorithm, contact: support@peak.ai

https://peak.ai/

AWS Infrastructure

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