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How to Tackle 3 Common Machine Learning Challenges
Here are 3 common machine learning challenges and how to tackle them: 1. Building a good enough model: From our…
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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…
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Comet Industry Q&A (Recap): Collaborative Data Science and Machine Learning
A conversation with Abubakar Abid of Gradio and Jakub Jurovych of Deepnote.
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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…
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Announcing Comet Artifacts
Comet Artifacts is a new set of tools that provides ML teams a convenient way to log, version, and browse…
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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…
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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…
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Issue 9: CLIP-based Generative Art, “Horror show” of YouTube’s Recommender System
A new Mozilla study on the “horrorshow” of YouTube’s recommender system, notes from a Turing Lecture given by three deep…
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Comet Office Hours: Recap for July 11, 2021
Notes from this week’s Comet Office Hours: Why data science, the relative importance of communicating business impacts on your resume,…
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Comet Office Hours: Recap for July 4, 2021
Notes from this week’s Comet Office Hours: Applied ML for precision agriculture, tips and resources for data science “coding interviews”,…
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From Observability to Optimization: Announcing the Opik Agent Optimizer Public Beta
At Comet, we’re driven by a commitment to advance innovation in AI, particularly in the realm of LLM observability. Our…
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