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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.

Bias: Detection & Mitigation in Text

By: Mphasis Latest Version: 1.0

Product Overview

This solution uses an unsupervised learning method that solves problem of Bias in unstructured data (Text Corpus). It identifies and reduces the bias present in the word embeddings. The user can target a specific bias (Gender, Age, Race etc.) to be identified and mitigated, without loss in semantic meaning of words in the corpus. These trained and de-biased word vectors can then be utilized in language models powering applications like unbiased word prediction, unbiased word suggestion for replacement words in sentences, unbiased sentence generation, etc.

Key Data

Version
By Mphasis
Categories
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information

Training

Additional Resources

End User License Agreement

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Support Information

Bias: Detection & Mitigation in Text

For any product support you can reach out to us at:

https://www2.mphasis.com/AWS-Marketplace-Support-LP.html

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Refund Policy

Currently we do not support refunds, but you can cancel your subscription to the service at any time.

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