Whether you’re comparing model performance during a daily standup or onboarding a new teammate, you’ll need to log the training runs with an experiment management tool like Comet. In this session, Jacques Verré will walk you through the process of reviewing a YOLOv5 model in Comet.
AI is encountering another hurdle to delivering value, in the form of friction among and between teams. A survey of 508 machine learning practitioners that included data scientists and engineers found challenges related to people, process, and tools. This friction can cause delays in ML development that delay or halt model deployment to production.
March 2, 2022
Oren Etzioni, CEO at Allen Institute for Artificial Intelligence, was the keynote speaker at Comet's Convergence 2022 event, where he summarizes 15 highlights of 2021 in ML and suggests lessons for 2022 and beyond.
October 28, 2021
Comet CEO Gideon Mendels discusses system design principles for managing development-production feedback loops and shares industry case studies these principles are applied to production ML systems.
April 12, 2022
Diversity has become an HR catchphrase, but what does it really mean to be from an underrepresented group in tech? This webinar explores the ongoing discussions about diversity, equity, and inclusion in ML and data science.
April 27, 2022
In this webinar, Gideon Mendels shares the results of Comet’s 2021 ML Practitioner Survey and talks to Ancestry's Stanley Fujimoto about overcoming ML development challenges.
In this report, we perform exploratory data analysis on the HackerNews dataset. Our profiling script builds visualizations, extracts summary profiles, and logs samples of the data for reference. We investigate the relationship between our initial set of features and our target.
As part of the Standardizing the Experiment Series, we present a report on a baseline post Performance Prediction Model for the HackerNews Dataset.