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Firebase Predictions
Firebase Predictions

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FloydHub
FloydHub

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Firebase Predictions vs FloydHub: What are the differences?

Developers describe Firebase Predictions as "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. On the other hand, FloydHub is detailed as "Heroku for Deep Learning". Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem.

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

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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 FloydHub?

Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem.
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            What tools integrate with Firebase Predictions?
            What tools integrate with FloydHub?
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              What are some alternatives to Firebase Predictions and FloydHub?
              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.
              NanoNets
              Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.
              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.
              See all alternatives
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              How developers use Firebase Predictions and FloydHub
              Avatar of Mark Melnykowycz
              Mark Melnykowycz uses FloydHubFloydHub

              Easy way to scale data science projects from laptop to the cloud to utilize GPU processing power and access key data training sets without downloading to your local machine.

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