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Azure Machine Learning Studio VS Sage Math

Compare Azure Machine Learning Studio VS Sage Math and see what are their differences

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Contents:
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  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.

Sage Math logo Sage Math

Sage is a free open-source mathematics software system licensed under the GPL.
  • Azure Machine Learning Studio Landing page
    Landing page //
    2021-08-03
  • Sage Math Landing page
    Landing page //
    2023-05-03

Azure Machine Learning Studio features and specs

  • User-Friendly Interface
    Azure Machine Learning Studio offers a drag-and-drop interface that makes it accessible for users without extensive coding experience, allowing for easy model creation and deployment.
  • Integration with Azure Services
    It seamlessly integrates with other Azure services, providing a comprehensive suite for data processing, storage, and deployment, enhancing its overall utility and functionality.
  • Pre-built Algorithms
    The platform includes a variety of pre-built algorithms and modules, which can significantly speed up the model development process and cater to different machine learning needs.
  • Collaborative Environment
    Azure Machine Learning Studio supports collaborative work, enabling team members to work together on projects, share resources, and manage models efficiently.
  • Scalability
    Being cloud-based, it can easily scale up with the needs of the project, accommodating growing data sizes and computational requirements without significant time or resource investment.

Possible disadvantages of Azure Machine Learning Studio

  • Limited Customization
    While it's easy to use for standard tasks, experienced data scientists may find it limiting when trying to implement highly customized solutions, as it may lack some of the flexibility found in open-source alternatives.
  • Cost
    Using Azure Machine Learning Studio, especially when scaling up, can become expensive compared to other platforms, particularly for startups or small businesses with limited budgets.
  • Performance Bottlenecks
    For large scale data processing or complex algorithms, users may encounter performance limitations, as certain operations may be slower compared to running locally optimized environments.
  • Learning Curve for Advanced Features
    While basic use is straightforward, leveraging advanced features effectively may require a considerable learning curve, particularly for those unfamiliar with Azure's ecosystem.
  • Dependency on Internet Connectivity
    As a cloud-based service, a stable internet connection is necessary for uninterrupted access and performance, which might be a limitation in scenarios with unreliable network access.

Sage Math features and specs

  • Open Source
    SageMath is free and open-source software, which allows users to access, modify, and distribute the software without cost. It fosters collaboration and transparency within the community.
  • Comprehensive Toolset
    It integrates many mathematics software packages into a common interface, providing tools for algebra, calculus, combinatorics, numerical mathematics, number theory, and more.
  • Python-Based
    SageMath uses Python as its primary language, which is widely known for its readability and ease of use. Python's popularity and extensive libraries enhance SageMath's functionality.
  • Active Community
    SageMath has a vibrant and active community contributing to its development, offering extensive support, tutorials, and documentation.
  • Web Interface
    SageMath provides a Jupyter Notebook interface, which allows for interactive computations, visualization, and sharing of results in a web browser.

Possible disadvantages of Sage Math

  • Resource Intensive
    SageMath can be resource-intensive, requiring significant computing power and memory, which can be a limitation for users with less powerful hardware.
  • Steep Learning Curve
    For users unfamiliar with Python or advanced mathematical software, SageMath can have a steep learning curve. It may require substantial effort to become proficient.
  • Software Dependencies
    SageMath relies on numerous other software packages. If one of these dependencies has issues or is incompatible with a user's system, it can be challenging to troubleshoot and resolve.
  • User Interface
    While functional, the user interface of SageMath may not be as polished or intuitive as some commercial competitors, which can affect user experience.
  • Limited Commercial Support
    There is limited commercial support available for SageMath compared to proprietary software, which might be a drawback for enterprise or commercial use requiring guaranteed support services.

Azure Machine Learning Studio videos

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Azure Machine Learning Studio

More videos:

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

Sage Math videos

No Sage Math videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Azure Machine Learning Studio and Sage Math)

Azure Machine Learning Studio

Sage Math

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Numerical Computation
0 0%
Numerical Computation
100% 100
Machine Learning
100 100%
Machine Learning
0% 0
Technical Computing
17 17%
Technical Computing
83% 83

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Azure Machine Learning Studio and Sage Math

Azure Machine Learning Studio Reviews

We have no reviews of Azure Machine Learning Studio yet.
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Sage Math Reviews

  1. WilliamStein
    · CEO at SageMath, Inc. ·
    SageMath's goal is to provide a viable free open source alternative to Magma, Maple, Mathematica, and Matlab

    I started SageMath in 2004 to provide a FOSS alternative to expensive commercial mathematics software. Sage is Python-based and has had around 600 volunteer contributors. The project has also received millions of dollars in support from grants around the world, and has a very active developer community.

    This site is about Software as a Service, and there are at least two easy ways to use Sage online as a service:

    https://cocalc.com and https://sagecell.sagemath.org/

    🏁 Competitors: Wolfram Mathematica, MATLAB, Maple, Magma
Matlab Alternatives
Sage Math is another software system that provides an alternative to MatLab. It is Used to analyze large data sets and help in scientific researches. Built on top of Python-based scientific library. Python is clear and easily readable. It is syntactically similar to Matlab. It provides a command-line interface and embedded tools to carry out mathematical functions. The...
Source: www.educba.com

Social recommendations and mentions

Based on our record, Sage Math should be more popular than Azure Machine Learning Studio. It has been mentiond 4 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 3 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 4 years ago

Sage Math mentions (4)

  • Did studying proof based math topics e.g. analysis make you a better programmer?
    I received a Ph.D. In pure math (number theory) from Berkeley, and then worked as an academic mathematician for 20 years, so wrote a few dozen research papers and some books. My ability to write software for doing mathematics was obviously better as a result of studying mathematics, e.g., I started SageMath (https://sagemath.org) and wrote a big chunk of it. Now I mostly do full stack web development (I... - Source: Hacker News / almost 2 years ago
  • How do I get this calculator to give me the derivative?
    You could also try sagemath (sagemath.org), available for window, mac & linux for free. Source: about 2 years ago
  • Are there any good free numeric computing environments?
    SageMath gets my vote. I use it to compute simplicial objects that turn out to be infinitely categories. https://sagemath.org SageMath includes most of the python libraries already mentioned, and much more. Source: over 2 years ago
  • TIL that the Sage Sage Sage of the Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage Sage
    I am a fan of this site (and of this site's tutorial in particular). I would also recommend this site. The SageMath site has some good tutorials too. Source: over 2 years ago

What are some alternatives?

When comparing Azure Machine Learning Studio and Sage Math, 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.

GNU Octave - GNU Octave is a programming language for scientific computing.

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.

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

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

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

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