
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.
Product Overview
A combination of multiple models, this algorithm ranks customers in different consumption categories to see what their response would be for a campaign. XGBoost evaluates spend passion for purchase categories. Identify spend gap with the ASVD model. The look-alike model analyzes what customers spend in a category to recommend spend to customers with the same behaviors. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer. Please contact info@electrifai.net for subscription service pricing. SKU: RECOM-PS-CCC-AWS-001
Key Data
Version | |
By | ElectrifAi LLC |
Categories | |
Type | Model Package |
Fulfillment Methods | Amazon SageMaker
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Usage Information
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