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Research#machine learning, finance, philosophy📝 BlogAnalyzed: Jan 3, 2026 06:42

Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy

Published:Dec 16, 2021 08:00
1 min read
Weights & Biases

Analysis

The article discusses the application of machine learning in finance, specifically at the Royal Bank of Canada, and connects it to philosophical concepts from the 17th century, mentioning Descartes and Newton. The focus is on the intersection of technology, finance, and philosophy.
Reference

“N/A”

PermalinkWeights & Biases
Research#computer vision📝 BlogAnalyzed: Dec 29, 2025 08:23

ML for Understanding Satellite Imagery at Scale with Kyle Story - TWiML Talk #173

Published:Aug 16, 2018 17:18
1 min read
Practical AI

Analysis

This article from Practical AI discusses a conversation with Kyle Story, a computer vision engineer at Descartes Labs. The focus is on Story's work in applying machine learning to understand satellite imagery at scale. The interview likely covers the challenges of scaling computer vision models for this purpose, the specific problems Descartes Labs is tackling, and the techniques they are employing. The title suggests a technical discussion, potentially delving into specific algorithms, datasets, and infrastructure considerations. The context of the Google Cloud Next Conference indicates a focus on cloud-based solutions and large-scale data processing.
Reference

“The article doesn't contain a direct quote, but the title references a talk titled “How Computers See the Earth: A Machine Learning Approach to Understanding Satellite Imagery at Scale.””

PermalinkPractical AI