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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.

DeepElement AutoML-Matrix Algorithm
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By: Deep Element Latest Version: 0.1

Product Overview

AutoML-Matrix is a proprietary self-learning Neural Network algorithm which can automatically build state-of-the-art classification models for data presented in a matrix (or tabular) form. Given a dataset, this algorithm determines the architecture of the Neural Net and then computes its parameters automatically, without the user having to provide the value of any hyperparameter (#layers, #neurons_per_layer, #learning_rate, e.t.c). This software automates the training pipeline by performing data pre-processing, feature engineering, model selection and hyperparameter optimization.

Key Data

Version
By Deep Element
Categories
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

End User License Agreement

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Support Information

DeepElement AutoML-Matrix Algorithm

Support is available from Deep Element. Search for questions in FAQ and write to us at contactus@deepelement.ai

https://www.deepelement.ai/Projects/AutoML-Matrix

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Refund Policy

Deep Element will not refund payments made by you as the Service Fees for any reason whatsoever.

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