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Stanford Research Series: Exploring Model Architectures and View-Specific Models for Chest Radiograph Diagnoses
Authors: Danny Takeuchi (dtakeuch@stanford.edu), Raymond Thai (raythai@stanford.edu), Kevin Tran (ktran23@stanford.edu) This project tackles several current issues with automated chest X-ray…
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Estimating Uncertainty in Machine Learning Models — Part 1
“We demand rigidly defined areas of doubt and uncertainty!” – Douglas Adams, The Hitchhiker’s Guide to the Galaxy Why…
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Getting Started with Natural Language Processing: US Airline Sentiment Analysis
Sections Introduction to NLP Dataset Exploration NLP Processing Training Hyperparameter Optimization Resources for Future Learning Introduction to NLP Natural Language…
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Selecting the right weight initialization for your deep neural network
Part 1 of a two part series The weight initialization technique you choose for your neural network can determine…
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Research Series: Understanding Generalization through Visualizations
By Ronny Huang, July 2019 Ronny Huang is a postdoc student at The University of Maryland and researcher in residence…
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Building reliable machine learning pipelines with AWS Sagemaker and Comet
This tutorial is Part II of a series. See Part I here. Successfully executing machine learning at scale involves building reliable…
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Codeless Deep Learning Pipelines with Ludwig and comet.ml
How to use Ludwig and comet.ml together to build powerful deep learning models right in your command line — using…
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Building a DevOps Pipeline for Machine Learning and AI: Evaluating Sagemaker
The rush to build and deploy machine learning models has exposed cracks in traditional DevOps processes. Infrastructure built for…
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Organizing Machine Learning Projects: Project Management Guidelines
Author: Jeremy Jordan Originally published at https://www.jeremyjordan.me on September 1, 2018, and was updated recently to reflect new resources. The goal…
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Building a fully reproducible machine learning pipeline with comet.ml and Quilt
Classifying fruits using a Keras multi-class image classification model and Google Open Images This post was written in collaboration…
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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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