Algorithms.io vs Amazon SageMaker: What are the differences?
Developers describe Algorithms.io as "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. On the other hand, Amazon SageMaker is detailed as "Accelerated Machine Learning". 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 and Amazon SageMaker belong to "Machine Learning as a Service" category of the tech stack.
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, Amazon SageMaker provides the following key features:
- Build: managed notebooks for authoring models, built-in high-performance algorithms, broad framework support
- Train: one-click training, authentic model tuning
- Deploy: one-click deployment, automatic A/B testing, fully-managed hosting with auto-scaling
What is Algorithms.io?
What is Amazon SageMaker?
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