Azure Machine Learning Studio Review
November 03, 2020

Azure Machine Learning Studio Review

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Azure Machine Learning Studio

In the AI era, we need to build and deploy the machine learning model. Currently in our project is using the Azure Machine learning studio to preprocessing, cleaning, training and deployment of ML model as client requirement. As my knowledge in my team are using the Azure ML Studio. Currently, we are working to build the semantic text analysis of the documents.
  • Easy to create the experiment.
  • Easy to adopt the best algorithm.
  • Efficient way to deploy the model as a web service.
  • Centralized platform for the life cycle of machine learning goal.
  • Difficult to integrate the data for creating the model.
  • I feels it's costly to use it.
  • It reduce[d] the time and cost of the development, testing and deployment of the ML model.
  • Easy to track the model.
  • Nowaday[s] we are addicted with the cloud services.
The Azure Machine Learning Studio eliminates the
complex tasks of data engineering and python coding for the data scientists to build models a simpler way. While SageMaker provide[s] a similar environment, [it] requires higher knowledge of data engineering. Even same for the Google cloud platform.
Easy and fastest way to develop, test, deploy and monitor the machine learning model.
- Easy to load the data set
-Drag and drop the process of the Machine learning life cycle.
I'm satisfied with the Azure Machine Learning Studio- it fulfilled my goal in a single channel. Even haven't worr[ied] about the maintenance or any fault tolerance. This provide[s] the user interactive UI to grab the features easily. [Their] support teams also very help[ful], they stand with us at any time.

Do you think Azure Machine Learning Studio delivers good value for the price?

Yes

Are you happy with Azure Machine Learning Studio's feature set?

Yes

Did Azure Machine Learning Studio live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Azure Machine Learning Studio go as expected?

Yes

Would you buy Azure Machine Learning Studio again?

Yes

For [a] data scientist require[d] to build a machine learning model, so he/she didn't worry about infrastructure to maintain it.
All kind of feature[s] such as train, build, deploy and monitor the machine learning model available in a single suite.
If someone has [their] own environment for ML studio, so there [it would] not [be] useful for them.

Using Azure Machine Learning Studio

Evaluating Azure Machine Learning Studio and Competitors

  • Price
  • Product Features
  • Product Usability
  • Product Reputation
  • Analyst Reports

Azure Machine Learning Studio Implementation

Azure Machine Learning Studio Support

ProsCons
Good followup
Knowledgeable team
Kept well informed
Problems left unsolved
Need to explain problems multiple times

Using Azure Machine Learning Studio

ProsCons
Easy to use
Well integrated
Cumbersome
Lots to learn