GenAI is undoubtedly changing how data scientists and analysts work, including tools, processes, and deliverables. Here’s what data scientists can do now to prepare.

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.

Azure Machine Learning provides comprehensive, end-to-end support for the entire machine learning lifecycle, from data preparation to model deployment and monitoring, making it easy to get started ...

• Machine learning-enhanced processing of quantum data and the outputs from quantum experiments or simulations.

SQream, a leading machine learning (ML) acceleration platform and one of NVIDIA’s longest-serving collaborators, has been at the forefront of data acceleration techniques for years.

Interview Kickstart, a leading platform for technical interview preparation, offers an Advanced Machine Learning Course designed to equip professionals with the skills needed to excel in ML roles ...