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Algorithms.io

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Firebase Predictions

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Algorithms.io vs Firebase Predictions: What are the differences?

Algorithms.io: Machine learning as a service for streaming data from connected devices. Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables; 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.

Algorithms.io and Firebase Predictions can be primarily classified as "Machine Learning as a Service" tools.

Some of the features offered by Algorithms.io are:

  • Classification & Anomaly Detection- With our machine learning algorithms and your time series data, we can get up to 99% prediction accuracy on the state of the sensor. Algorithms include neural network, random forest, support vector machine and others.
  • Streaming Data Infrastructure- We provide the infrastructure for your streaming data as a service including a highly scalable time-series database and analytics capabilities.
  • Analytics Across All Your Devices- Capture and aggregate data from all of your devices to perform analytics across the entire dataset.

On the other hand, Firebase Predictions provides the following key features:

  • Boost revenue and retention through customized user experiences
  • Send smarter notifications
  • Create custom predictions
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What is Algorithms.io?

Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables

What is Firebase Predictions?

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

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What tools integrate with Algorithms.io?
What tools integrate with Firebase Predictions?
    No integrations found
    What are some alternatives to Algorithms.io and Firebase Predictions?
    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.
    Azure Machine Learning
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    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 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.
    Google AI Platform
    Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.
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