Fraud Detection, Imbalanced Classification, and Managing Your Machine Learning Experiments Using Comet
An end-to-end guide for building and managing an ML-powered fraud detection system A brief history of fraud The earliest recorded…
Upcoming Comet Industry Q&A: Building Creative User Interfaces and Experiences with Machine Learning
Join us Tuesday, August 24th, for an Industry Q&A exploring how machine learning can power creative and immersive user interfaces and experiences
Comet Industry Q&A (Recap): Collaborative Data Science and Machine Learning
A conversation with Abubakar Abid of Gradio and Jakub Jurovych of Deepnote.
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.ml announces $4.5 million investment to double-down on Comet Enterprise and Meta Learning Capabilities
Current customers include Ancestry, General Electric, The National Institute of Health and Fortune 100 Companies NEW YORK, NY--comet.ml, the industry-leading…
Why software engineering processes and tools don’t work for machine learning
While AI may be the new electricity significant challenges remain to realize AI potential. Here we examine why data scientists and teams can’t rely on software engineering tools and processes for machine learning.
How to apply machine learning and deep learning methods to audio analysis
To view the code, training visualizations, and more information about the python example at the end of this post, visit…
