SiliconANGLE

JFrog-Amazon SageMaker integration aims to streamline machine learning workflows

Software supply chain company JFrog Ltd. announced today a new integration with Amazon SageMaker to enable developers and data scientists to collaborate efficiently on building, training and deploying ...
InfoQ

Netflix Enhances Metaflow with New Configuration Capabilities

Netflix has introduced a significant enhancement to its Metaflow machine learning infrastructure: a new Config object that brings powerful configuration management to ML workflows. This addition ...
The Manila Times

2026 Data Science Course Created by FAANG+ Data Scientists Focused on Production-Ready Skills in AI and Machine Learning

SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...
Linux Journal

Unlocking Data Science Potential Understanding Machine Learning and Data Analysis with JupyterLab

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...
Science Daily

Machine learning unlocks superior performance in light-driven organic crystals

Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...
Visual Studio Magazine

Predicting the Future Using Azure Machine Learning

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
EurekAlert!

Machine Learning Workflow for Identifying Key Metabolites Linked to Oxidative Potential in Contaminated Soils. (IMAGE)

This diagram outlines the process used to identify the top 20 metabolites associated with oxidative potential (OP) in heavy metal-contaminated soils. The analysis involves data collection from ...