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Benchmark datasets play a central role in the organization of machine learning research. They coordinate researchers around shared research problems and serve as a measure of progress towards shared goals. Despite the foundational role of benchmarking pra…

Machine Learning (ML) is being used in multiple disciplines due to its powerful capability to infer relationships within data. In particular, Software Engineering (SE) is one of those disciplines in which ML has been used for multiple tasks, like software…

Proposing a community-based system for model development. …

In this video, we put the language model ChatGPT to the test by having it take on a programming course focused on machine learning. While ChatGPT demonstrate…

With 30 questions and answers on key concepts in machine learning and AI, this book provides bite-sized nuggets for your journey from machine learning beginner to exper. Even experienced machine learning researchers and practitioners will encounter someth…

Organizations rely on machine learning engineers (MLEs) to operationalize ML, i.e., deploy and maintain ML pipelines in production. The process of operationalizing ML, or MLOps, consists of a continual loop of (i) data collection and labeling, (ii) experi…

Kaggle is an online community that allows data scientists and machine learning engineers to find and publish data sets, learn, explore, build models, and collaborate with their peers.

Predictive analysis is helping major-league managers plan better to avoid injuries—and it may change the way you watch your favorite sports, too.