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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.

Intel® DAAL Logistic Regression.

Product Overview

Logistic regression is a method for modeling the relationships between one or more explanatory variables and a categorical variable by expressing the posterior statistical distribution of the categorical variable via linear functions on observed data. If the categorical variable is binary, that is it takes only two values, "0" and "1", the logistic regression is simple, otherwise, it is multinomial.

Key Data

By Intel® AI
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information

Support Information

Intel® DAAL Logistic Regression.

Support information or contact information Intel® Data Analytics Acceleration Library (Intel® DAAL) provides a product web site that offers timely and comprehensive product information, including product features, white papers, and technical articles. Intel also provides a support web site that contains a rich repository of self help information, including getting started tips, known product issues, product errata, license information, user forums, and more (visit Registering your product entitles you to one year of technical support and product updates through priority support. The interactive issue management and communication support web site provides these services: Submit issues and review their status, Download product updates anytime of the day. To register your product, contact Intel, or seek product support, please visit

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