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Azure Machine Learning Studio VS Data Science Workbench

Compare Azure Machine Learning Studio VS Data Science Workbench and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Azure Machine Learning Studio logo Azure Machine Learning Studio

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

Data Science Workbench logo Data Science Workbench

Equip data scientists with self-service access to any data, anywhere, so they can quickly develop and prototype machine learning projects and easily deploy them to production.
  • Azure Machine Learning Studio Landing page
    Landing page //
    2021-08-03
  • Data Science Workbench Landing page
    Landing page //
    2023-10-05

Azure Machine Learning Studio videos

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Azure Machine Learning Studio

More videos:

  • Review - Introduction to Microsoft Azure Machine Learning Studio & Services

Data Science Workbench videos

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Model Deployment Using Cloudera Data Science Workbench

Category Popularity

0-100% (relative to Azure Machine Learning Studio and Data Science Workbench)

Azure Machine Learning Studio

Data Science Workbench

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Technical Computing
41 41%
Technical Computing
59% 59
Machine Learning
100 100%
Machine Learning
0% 0
Development
0 0%
Development
100% 100

User comments

Share your experience with using Azure Machine Learning Studio and Data Science Workbench. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Azure Machine Learning Studio seems to be more popular. It has been mentiond 2 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.

Azure Machine Learning Studio mentions (2)

  • What are all possible FREE Machine Learning integrations with Power BI?
    Machine Learning studio https://studio.azureml.net/ but this will be discontinued in Dec 01,2021 :(. Source: over 2 years ago
  • Stumbling into BI as a job role and need advice
    Advanced analytics, predictive modeling: You can't go passed learning R or Python if you're that way inclined.. however, if you're a GUI monkey like me, I have had a fair amount of success using https://studio.azureml.net/ it's free at base level :). Source: almost 3 years ago

Data Science Workbench mentions (0)

We have not tracked any mentions of Data Science Workbench yet. Tracking of Data Science Workbench recommendations started around Mar 2021.

What are some alternatives?

When comparing Azure Machine Learning Studio and Data Science Workbench, you can also consider the following products

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Tibco Data Science - Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...

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