Towards Data Science
LLM Themes Are Not Observations
The article discusses the pitfalls of using themes extracted from customer interactions in causal analysis. It…
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3 Claude Skills Every Data Scientist Needs in 2026
The article discusses the evolving role of data scientists due to advancements in AI tools like Claude. It highlights…
Towards Data Science
Benders’ Decomposition 101: How to Crack Open a Stochastic Program That’s Too Big to Swallow Whole
The article discusses Benders' decomposition as a solution for large stochastic optimization problems. It explains how…
Towards Data Science
Prompt Engineering Isn’t Enough — I Built a Control Layer That Works in Production
The article discusses the limitations of prompt engineering in large language model (LLM) integrations and introduces…
Towards Data Science
Can LLMs Replace Survey Respondents?
Recent research explores the potential of large language models (LLMs) to simulate household survey responses…
Towards Data Science
Optimizing AI Agent Planning with Operations Research and Data Science
The article discusses the optimization of AI agent planning using operations research and data science. It highlights…
Towards Data Science
How to Safely Run Coding Agents
The article discusses how to safely run coding agents to enhance programming efficiency. It argues against the…
Towards Data Science
From Possible to Probable AI Models
The article discusses the challenges of building reliable AI systems, emphasizing the distinction between what is…
Towards Data Science
Deploying a Multistage Multimodal Recommender System on Amazon Elastic Kubernetes Service
The article discusses the deployment of a multistage multimodal recommender system on Amazon Elastic Kubernetes…
Towards Data Science
Introduction to Lean for Programmers
The article discusses the author's journey in learning mathematics and programming through the lens of proof…
Towards Data Science
Grounding LLMs with Fresh Web Data to Reduce Hallucinations
Large language models (LLMs) require access to up-to-date information to provide accurate responses, as they often…
Towards Data Science
Proxy-Pointer RAG: Solving Entity and Relationship Sprawl in Large Knowledge Graphs
The article discusses the challenges of maintaining large knowledge graphs due to entity and relationship sprawl. It…
Towards Data Science
Six Choices Every AI Engineer Has to Make (and Nobody Teaches)
The article discusses six critical trade-offs that AI engineers face once their models are in production. It…
Towards Data Science
One Flexible Tool Beats a Hundred Dedicated Ones
The article discusses the advantages of using command-line interfaces (CLIs) over managed control plane (MCP) servers…
Towards Data Science
Why Your AI Demo Will Die in Production
The article discusses the high failure rate of enterprise AI pilots, with 95% never making it to production. It…
Towards Data Science
How to Maximize OpenAI’s Codex
The article discusses how to maximize the use of OpenAI's Codex coding agent. The author shares personal experiences…
Towards Data Science
Pandas Isn’t Going Anywhere: Why It’s Still My Go-To for Data Wrangling
Pandas remains a popular tool for data cleaning and processing despite challenges with large datasets. It is widely…
Towards Data Science
LLM Evals Are Based on Vibes — I Built the Missing Layer That Decides What Ships
Many LLM evaluation systems rely on subjective 'vibe checks' that fail at scale, often missing confidently incorrect…
Towards Data Science
From Data Analyst to Data Engineer: My 12-Month Self-Study Roadmap
The author, a data analyst and IT System Analyst, shares their 12-month self-study plan to transition into data…
Towards Data Science
Recursive Language Models: An All-in-One Deep Dive
Recursive Language Models (RLMs) represent a new approach in agentic AI architectures that differ significantly from…
Towards Data Science
Let the AI Do the Experimenting
Autoresearch is an emerging approach that leverages autonomous AI agents to continuously run experiments, evaluate…
Towards Data Science
The Next Frontier of AI in Production Is Chaos Engineering
Chaos engineering in AI production systems currently emphasizes safety over intent, focusing on whether experiments…
Towards Data Science
PyTorch NaNs Are Silent Killers — So I Built a 3ms Hook to Catch Them at the Exact Layer
NaN values in PyTorch models can silently propagate through layers, corrupting training without immediate detection.…
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