Amazon SageMaker vs Lamina

Overview

Amazon SageMaker

Stacks293

Followers284

Votes0

Lamina

Stacks6

Followers18

Votes0

Amazon SageMaker vs Lamina: What are the differences?

Developers describe Amazon SageMaker 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. On the other hand, Lamina is detailed as "Artificial Intelligence as an API 🤖". Lamina helps you integrate Deep Learning models like Sentiment Analysis and Entity Extraction into your products with a simple API call. Relieving you of getting data, creating a model and training them which would be compute-intensive.

Amazon SageMaker and Lamina can be categorized as "Machine Learning as a Service" tools.

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Detailed Comparison

Amazon SageMaker	Lamina
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.	Lamina helps you integrate Deep Learning models like Sentiment Analysis and Entity Extraction into your products with a simple API call. Relieving you of getting data, creating a model and training them which would be compute-intensive.
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	-
Statistics
Stacks 293	Stacks 6
Followers 284	Followers 18
Votes 0	Votes 0
Integrations
Amazon EC2 TensorFlow	No integrations available

What are some alternatives to Amazon SageMaker, Lamina?

NanoNets

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Inferrd

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GraphLab Create

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BigML

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Tinker

Is a training API for researchers and developers.

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Sportlingo

AI-powered sports analytics and skill assessment API that enables apps and platforms to deliver personalized training, drills, and performance insights.

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.