“We can easily apply this template to other industries,” adds Bin Zhou, the head of Microsoft Lab 1711, who is passionate to apply Azure Machine Learning technologies to address real problems. “We’ve ...

The Data Science Virtual Machine already has Python 3, Conda, Jupyter Notebooks, and the Azure Machine Learning SDK installed. The DSVM comes with popular machine learning and deep learning ...

The Azure Machine Learning Studio contains dozens of sample data sets, five data format conversions, several ways to read and write data, dozens of data transformations, and three ways to select ...

At the upcoming Visual Studio Live!@ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session "Predicting the Future using Azure Machine Learning," ...

Since Azure ML runs on Microsoft's public cloud, Versium can add more external data to its fraud modeling system than they'd be able to with an on-premise machine learning setup, he said.

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses. The ...

Speed up data science with automated machine learning and hyper-parameter tuning. Track your experiments, manage models, and easily deploy with integrated CI/CD tooling. Leveraging VS Code's ...

Teradata has integrated Teradata VantageCloud, an cloud analytics and data platform, with Microsoft Azure Machine Learning (Azure ML).. VantageCloud’s scalability, openness and analytics – ClearScape ...

A crucial part of the machine learning lifecycle is managing data drift to ensure the model remains effective and continues to provide business value. Data is an ever-changing landscape, after all.