AWS Machine Learning Blog Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage features for machine learning (ML) models. Features are inputs to ML models used during training and inference. For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener […]Continue reading
The Straits Times Business News December 11, 2023 6:00 PMWhat’s in store for the future of money and what does it mean for you or your business? Howie Lim gets insights from Janet Young managing director and head, group channels and digitalisation, strategic communications and brand at UOB. Go to Source 11/12/2023 – 12:05 / […]Continue reading
AWS Machine Learning Blog Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. Feature quality is critical to ensure a […]Continue reading
MIT News – Artificial intelligence Walking to a friend’s house or browsing the aisles of a grocery store might feel like simple tasks, but they in fact require sophisticated capabilities. That’s because humans are able to effortlessly understand their surroundings and detect complex information about patterns, objects, and their own location in the environment. What […]Continue reading
The Local Denmark’s new government is set to propose scrapping the Great Prayer Day (Store Bededag) public holiday. In this archive article, we look at why the Danish calendar includes this extra holiday on a day when most other countries are going about their normal business. Go to Source December 14, 2022 – 6:04 pm […]Continue reading
