Machine Learning
August 20, 2019

Machine Learning

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

Overall Satisfaction with Microsoft Azure

I have used Microsoft Azure previously to run some machine learning algorithms that processed a large amount of data and made predictions. This allowed us to improve someone's performance.
  • Microsoft Azure is great for machine learning.
  • Microsoft Azure is cheap and user-accessible.
  • Microsoft Azure allows for making predictions from large sets of information.
  • It is not that user-friendly.
  • It requires a lot of data and time to teach algorithms
  • The credits can get quite costly for small projects.
  • Making performance predictions that help drive business model (positive).
  • Takes a lot of time to learn and requires manpower to teach the system (negative).
  • Easy to scale to many users.
Azure is easy to use and understand. Where it gets complicated, is when you are using complicated algorithms and apply machine learning. The user interface is intuitive and easy to use.
There is a lot of support online to use when you run into issues with Microsoft Azure.
Microsoft Azure seems to be the most cost-effective and the ability to buy credits for projects instead of a license makes it attractive.
Microsoft Azure is well suited for a machine learning platform.