Amazon SageMaker vs Recombee
Overview
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Detailed Comparison
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. | It is a Recommender as a Service with easy integration and powerful Admin UI. The Recombee recommendation engine can be applied to any domain that has a catalog of items and is interacted by a large number of users. Applicable to web and mobile apps, It improves user experience by showing the most relevant content for individual users. |
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 | Personalize user experiences with highly versatile and scalable solution;
Recommender engine that drives you forward;
Real time analytics and seamless configuration;
Quick and easy integration into your environment |
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Stacks 293 | Stacks 5 |
Followers 284 | Followers 1 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Amazon SageMaker, Recombee?
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.
Inferrd
It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.
GraphLab Create
Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.
BigML
BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.
Tinker
Is a training API for researchers and developers.
Sportlingo
AI-powered sports analytics and skill assessment API that enables apps and platforms to deliver personalized training, drills, and performance insights.
AI Video Generator
Create AI videos at 60¢ each - 50% cheaper than Veo3, faster than HeyGen. Get 200 free credits, no subscription required. PayPal supported. Start in under 2 minutes.
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.
Replicate
It lets you run machine learning models with a few lines of code, without needing to understand how machine learning works.
