Microsoft Azure Machine Learning Studio Primary Use Case

Software83c9
Software Engineer
To create quick data analytic experiments, without incurring the time and cost of spinning up servers, setting up Hadoop, etc. Although MLS makes it very easy to deploy the resulting machine-learning models via REST API, I primarily use MLS as a means to quickly spin up experiments and create proof of concept models. View full review »
Danilo Faria
System Analyst at a financial services firm with 1,001-5,000 employees
The first time that I used this tool was in a project related to bike usage in the city of Boston. This project was part of a course that I concluded some months ago. In this project I used components to read data, for exploratory analysis, for steps of data munging, to split data, select hyperparameters, and some machine learning algorithms. In some steps I needed to insert R modules to apply some data transformation. The target of this exercise was to predict bike usage in a day. View full review »
Hameez Ariz
Process Analyst
My primary use of ML Studio is to experiment with different algorithms and learn the techniques of machine learning. In the meantime, I have developed a few models related to finance. One of the predictive models I designed was an Invoice Discrepancy Prediction model using a Multiclass Neural Network algorithm. This model predicts if an invoice will have a variance of some sort when checked against the purchase order, before the payments are to be processed. View full review »
Find out what your peers are saying about Microsoft, Databricks, Knime and others in Data Science Platforms. Updated: October 2019.
378,809 professionals have used our research since 2012.
Nitin-Jain
Senior Associate - Data Science at a consultancy with 51-200 employees
I have used it to deploy predictive models in the healthcare sector. View full review »
Rolf Lindgren
CEO at a recruiting/HR firm with 1-10 employees
Exploration of connections between biodata and psychometric test results. View full review »
Find out what your peers are saying about Microsoft, Databricks, Knime and others in Data Science Platforms. Updated: October 2019.
378,809 professionals have used our research since 2012.
Sign Up with Email