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Microsoft Recommendations API VS Qubole

Compare Microsoft Recommendations API VS Qubole and see what are their differences

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Microsoft Recommendations API logo Microsoft Recommendations API

Obtains details of a cached recommendation.

Qubole logo Qubole

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
  • Microsoft Recommendations API Landing page
    Landing page //
    2023-02-12
  • Qubole Landing page
    Landing page //
    2023-06-22

Microsoft Recommendations API videos

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Qubole videos

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Fast and Cost Effective Machine Learning Deployment with S3, Qubole, and Spark

More videos:

  • Review - Migrating Big Data to the Cloud: WANdisco, GigaOM and Qubole
  • Review - Democratizing Data with Qubole

Category Popularity

0-100% (relative to Microsoft Recommendations API and Qubole)

Microsoft Recommendations API

Qubole

Data Science Tools
100 100%
Data Science Tools
0% 0
Data Dashboard
7 7%
Data Dashboard
93% 93
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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What are some alternatives?

When comparing Microsoft Recommendations API and Qubole, 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.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

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

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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