Understanding the ML Model Lifecycle
What is the machine learning lifecycle? Watch this webinar to learn:
The stages of the ML model lifecycle
Why it’s critical that machine learning teams track their models through the entire lifecycle
Building Your Futureproof Stack for MLOps
In this webinar, join the teams at Pachyderm and Comet as we cover:
What MLOps entails, and the components of a robust stack
The challenges teams face when scaling their models intro production
Lessons From the Field in Building Your MLOps Strategy
In our discussions with leading organizations utilizing ML like The RealReal and Uber, we have compiled real-world case studies and organizational best practices for MLOps in the enterprise.
Visualize your Object Detection Models with Jacques Verré
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.
Convergence 2022 – ML Highlights from 2021 and Lessons for 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.
MLOps System Design for Development and Production
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.
More than a Statistic: Diversity in Data Science and Machine Learning
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.