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Microsoft Recommendations API VS AWS SageMaker Ground Truth

Compare Microsoft Recommendations API VS AWS SageMaker Ground Truth and see what are their differences

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Microsoft Recommendations API logo Microsoft Recommendations API

Obtains details of a cached recommendation.

AWS SageMaker Ground Truth logo AWS SageMaker Ground Truth

Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.
  • Microsoft Recommendations API Landing page
    Landing page //
    2023-02-12
  • AWS SageMaker Ground Truth Landing page
    Landing page //
    2023-04-14

Category Popularity

0-100% (relative to Microsoft Recommendations API and AWS SageMaker Ground Truth)

Microsoft Recommendations API

AWS SageMaker Ground Truth

Data Science Tools
100 100%
Data Science Tools
0% 0
Data Science And Machine Learning
9 9%
Data Science And Machine Learning
91% 91
AI
0 0%
AI
100% 100
Technical Computing
100 100%
Technical Computing
0% 0

User comments

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Social recommendations and mentions

Based on our record, AWS SageMaker Ground Truth seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Microsoft Recommendations API mentions (0)

We have not tracked any mentions of Microsoft Recommendations API yet. Tracking of Microsoft Recommendations API recommendations started around Mar 2021.

AWS SageMaker Ground Truth mentions (3)

  • [D] What are people using to organize large groups of people for data labelling?
    Perhaps https://aws.amazon.com/sagemaker/data-labeling/ ? Source: almost 2 years ago
  • Top 5 AWS ML Sessions to Attend at AWS re:Invent 2021
    In this session you will discover how to use Amazon SageMaker to prepare data for machine learning in minutes. SageMaker provides data preparation tools that make it easier to label, prepare, and analyse your data. Walk through a complete data-preparation workflow, including how to use SageMaker Ground Truth to label training datasets, as well as how to extract data from numerous data sources, convert it using... - Source: dev.to / over 2 years ago
  • Blocked by MLData…it was only a matter of time
    As for who run MLD I guess It’s Amazon itself, have a look at this https://aws.amazon.com/sagemaker/groundtruth/. I speculate that multiple companies use this resource and they are the one responsible to upload the correct instructions, Amazon just redirect the labeling job for us using and requester account in mTurk, that explains why the communication is unacceptable with this requester. Source: over 2 years ago

What are some alternatives?

When comparing Microsoft Recommendations API and AWS SageMaker Ground Truth, you can also consider the following products

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

Computer Vision Annotation Tool (CVAT) - Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat

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

Labelbox - Build computer vision products for the real world

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.

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

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