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Microsoft Machine Learning Server VS Microsoft Recommendations API

Compare Microsoft Machine Learning Server VS Microsoft Recommendations API and see what are their differences

Microsoft Machine Learning Server logo Microsoft Machine Learning Server

Develop machine learning models and scripts in Python and R for on-premises deployment behind the firewall. R Server, Python server, packages, and interpreters are included.

Microsoft Recommendations API logo Microsoft Recommendations API

Obtains details of a cached recommendation.
  • Microsoft Machine Learning Server Landing page
    Landing page //
    2023-02-12
  • Microsoft Recommendations API Landing page
    Landing page //
    2023-02-12

Category Popularity

0-100% (relative to Microsoft Machine Learning Server and Microsoft Recommendations API)
Technical Computing
50 50%
50% 50
Data Science Tools
0 0%
100% 100
Data Dashboard
62 62%
38% 38
Data Science And Machine Learning

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What are some alternatives?

When comparing Microsoft Machine Learning Server and Microsoft Recommendations API, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

Amazon Forecast - Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.