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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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Learn MoreWhat 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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Jobs that mention Firebase Predictions and FloydHub as a desired skillset
What companies use Firebase Predictions?
What companies use FloydHub?
What companies use Firebase Predictions?
What companies use FloydHub?
See which teams inside your own company are using Firebase Predictions or FloydHub.
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What tools integrate with Firebase Predictions?
What tools integrate with FloydHub?
What tools integrate with Firebase Predictions?
What tools integrate with FloydHub?
No integrations found
What are some alternatives to Firebase Predictions and FloydHub?
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
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.
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.
Algorithms.io
Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables