How to Tackle 3 Common Machine Learning Challenges
https://vimeo.com/582673299 Here are 3 common machine learning challenges and how to tackle them: 1. Building a good enough model: From…
Managing ML Operations: When to Build vs Buy
When to build your own MLOps platform and when to buy it? Here’s the framework: This depends on the level…
Comet Industry Q&A (Recap): Collaborative Data Science and Machine Learning
A conversation with Abubakar Abid of Gradio and Jakub Jurovych of Deepnote.
Issue 11: Announcing Comet Artifacts, the Case for Automating Morals
A new Mozilla study on the "horrorshow" of YouTube's recommender system, notes from a Turing Lecture given by three deep learning pioneers, building data teams at a mid-stage startup, and more
Announcing Comet Artifacts
Comet Artifacts is a new set of tools that provides ML teams a convenient way to log, version, and browse data from all parts of their experimentation pipelines.
Upcoming Comet Industry Q&A: Collaborative Data Science and Machine Learning
Join us Monday, July 26th, for an Industry Q&A exploring the nature and evolution of collaborative data science and machine learning.
Comet Office Hours: Recap for July 18, 2021
Notes from this week's Comet Office Hours: Learning SQL, setting expectations in a new role, and the worst career advice we've received or seen.
