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AWS vs. Azure: A Deep Dive into Model Training – Part 2

AWS vs. Azure: A Deep Dive into Model Training – Part 2

by Dr. Owns | Feb 4, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

This article covers how Azure ML’s persistent, workspace-centric compute resources differ from AWS SageMaker’s on-demand, job-specific approach. Additionally, we explored environment customization options, from Azure’s curated environments and custom...
How to Work Effectively with Frontend and Backend Code

How to Work Effectively with Frontend and Backend Code

by Dr. Owns | Feb 4, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Learn how to be an effective full-stack engineer with Claude Code The post How to Work Effectively with Frontend and Backend Code appeared first on Towards Data Science. ​Learn how to be an effective full-stack engineer with Claude Code The post How to Work...
How to Build Your Own Custom LLM Memory Layer from Scratch

How to Build Your Own Custom LLM Memory Layer from Scratch

by Dr. Owns | Feb 4, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Step-by-step guide to building autonomous memory retrieval systems The post How to Build Your Own Custom LLM Memory Layer from Scratch appeared first on Towards Data Science. ​Step-by-step guide to building autonomous memory retrieval systems The post How to Build...
Plan–Code–Execute: Designing Agents That Create Their Own Tools

Plan–Code–Execute: Designing Agents That Create Their Own Tools

by Dr. Owns | Feb 4, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

The case against pre-built tools in Agentic Architectures The post Plan–Code–Execute: Designing Agents That Create Their Own Tools appeared first on Towards Data Science. ​The case against pre-built tools in Agentic Architectures The post Plan–Code–Execute: Designing...
Routing in a Sparse Graph: a Distributed Q-Learning Approach

Routing in a Sparse Graph: a Distributed Q-Learning Approach

by Dr. Owns | Feb 3, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

Distributed agents need only decide one move ahead. The post Routing in a Sparse Graph: a Distributed Q-Learning Approach appeared first on Towards Data Science. ​Distributed agents need only decide one move ahead. The post Routing in a Sparse Graph: a Distributed...
YOLOv2 & YOLO9000 Paper Walkthrough: Better, Faster, Stronger

YOLOv2 & YOLO9000 Paper Walkthrough: Better, Faster, Stronger

by Dr. Owns | Feb 3, 2026 | Analytics, Artificial Intelligence, Data and Information, Decision Support

From YOLOv1 to YOLOv2: prior box, k-means, Darknet-19, passthrough layer, and more The post YOLOv2 & YOLO9000 Paper Walkthrough: Better, Faster, Stronger appeared first on Towards Data Science. ​From YOLOv1 to YOLOv2: prior box, k-means, Darknet-19, passthrough...
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