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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.

Breast Cancer Classification

By: Persistent Systems Latest Version: 0.1

Product Overview

Breast cancer is the most common form of cancer and the second most common cause of cancer deaths among women. This model is trained on features that are computed from a digitized image of a fine needle aspirate (FNA) biopsy of a breast mass. They describe characteristics of the cell nuclei such as radius, texture, perimeter, smoothness, concavity, symmetry etc.This model is not intended for medical diagnostic purpose.

Key Data

By Persistent Systems
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Support Information

AWS Infrastructure

AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services. Learn more

Refund Policy

Since you are not being charged currently for the use of this software there will be no refund of any charges.

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