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Firebase Predictions
Firebase Predictions

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Gradient°
Gradient°

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Firebase Predictions vs Gradient°: What are the differences?

What is Firebase Predictions? Define dynamic user groups based on predicted behavior. Firebase Predictions uses the power of Google’s machine learning to create dynamic user groups based on users’ predicted behavior.

What is Gradient°? Deep learning platform built for developers. Gradient° is a suite of tools for exploring data and training neural networks. Gradient° includes 1-click Jupyter notebooks, a powerful job runner, and a python module to run any code on a fully managed GPU cluster in the cloud. Gradient is also rolling out full support for Google's new TPUv2 accelerator to power even more newer workflows.

Firebase Predictions and Gradient° belong to "Machine Learning as a Service" category of the tech stack.

Some of the features offered by Firebase Predictions are:

  • Boost revenue and retention through customized user experiences
  • Send smarter notifications
  • Create custom predictions

On the other hand, Gradient° provides the following key features:

  • 1-click Jupyter notebooks
  • a powerful job runner
  • Python module to run any code on a fully managed GPU cluster in the cloud
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What is Firebase Predictions?

Firebase Predictions uses the power of Google’s machine learning to create dynamic user groups based on users’ predicted behavior.

What is Gradient°?

Gradient° is a suite of tools for exploring data and training neural networks. Gradient° includes 1-click Jupyter notebooks, a powerful job runner, and a python module to run any code on a fully managed GPU cluster in the cloud. Gradient is also rolling out full support for Google's new TPUv2 accelerator to power even more newer workflows.
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              What are some alternatives to Firebase Predictions and Gradient°?
              Azure Machine Learning
              Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
              Amazon Machine Learning
              This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
              Amazon SageMaker
              A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
              Algorithms.io
              Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables
              Amazon Elastic Inference
              Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon.
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