Machine Learning

Three things to know about Azure Machine Learning Notebook VM

lundi 10 juin 2019

Data scientists have a dynamic role. They need environments that are fast and flexible while upholding their organization’s security and compliance policies. Notebook Virtual Machine (VM), announced in May 2019, resolves these conflicting requirements while simplifying the overall experience for data scientists.

Principal Program Manager, Azure Machine Learning

Build more accurate forecasts with new capabilities in automated machine learning

jeudi 6 juin 2019

Build more accurate forecasts with the release of capabilities in automated machine learning. Have scenarios that require have gaps in training data or need to apply contextual data to improve your forecast or need to apply lags to your features? Learn more about the new capabilities that can assist you.

Senior Program Manager, Azure Machine Learning

New Azure Machine Learning updates simplify and accelerate the ML lifecycle

vendredi 3 mai 2019

With the exponential rise of data, we are undergoing a technology transformation, as organizations realize the need for insights driven decisions. Artificial intelligence (AI) and machine learning (ML) technologies can help harness this data to drive real business outcomes across industries. Azure AI and Azure Machine Learning service are leading customers to the world of ubiquitous insights and enabling intelligent applications such as product recommendations in retail, load forecasting in energy production, image processing in healthcare to predictive maintenance in manufacturing and many more.

Group Program Manager, Microsoft Azure

Faire de l’intelligence artificielle une réalité pour tous les développeurs et toutes les organisations

jeudi 2 mai 2019

L’intelligence artificielle impulse la prochaine vague d’innovations qui vont transformer notre monde. Avec l’intelligence artificielle Azure, notre objectif est de permettre aux organisations d’appliquer l’intelligence artificielle à l’ensemble de leur activité afin d’engager leurs clients, de donner plus de moyens aux employés de faire leur travail, d’optimiser les opérations et de transformer les produits. Pour concrétiser tout cela, nous suivons trois principes d’investissement.

Corporate Vice President, Azure AI