Machine learning tool that is easy to learn and use
May 13, 2019

Machine learning tool that is easy to learn and use

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Microsoft Azure Machine Learning Workbench

Currently, it is used for our information technology sector to implement machine learning features in-house. The idea is to explore models and perform some experimentation. It's used to find Machine Learning solutions for internal use in the company. The Microsoft resources in this tool make it easier to use machine learning, like the use of visual interfaces and how they manage deployment.
  • Visual interface
  • Possibility to track the IDs and also get the results from it
  • Charts to collect data and quickly check for performance/problems
  • Hard to apply Python code and run
  • More models could be available
  • Tableau interface would be perfect
  • It is easy to learn and construct, which impacts directly on productivity.
  • Good for experimentation and validation for simple models.
  • Has a use cost less than the best alternatives in the market.
It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.
It is good to quickly and easily deploy a model for Machine Learning. It has a few coding aspects that enable machine learning that at first sight can be a problem for non-machine learning specialists. The system tries to gets the easiest results as possible.

It is less appropriate for complex systems and for detailed results to be analyzed.