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238 articles found
Optimal Resolution in Histograms: A Rigorous Bayesian Approach to Density Fitting The post How to Mathematically Choose the Optimal Bins for Your Histogram appeared first on Towards Data Science.
An intro to recommender systems The post Beyond the Scroll: How Social Media Algorithms Shape Your Reality appeared first on Towards Data Science.
Engineer token-efficient, self-adapting workflows for production The post From Prototype to Profit: Solving the Agentic Token-Burn Problem appeared first on Towards Data Science.
How AI architecture prevents plausible but wrong analytics The post Hybrid AI: Combining Deterministic Analytics with LLM Reasoning appeared first on Towards Data Science.
Quantum Machine Learning promises access to exponentially large representational spaces, but before any computation can happen, classical data must first be embedded into quantum systems. This article explores one of the most overlooked bottlenecks in QML: getting data into a quantum computer effici
For AI engineers who want to understand every step, not just call the library The post Enterprise Document Intelligence: A Series on Building RAG Brick by Brick, from Minimal to Corpus scale appeared first on Towards Data Science.
The tension between Legal and IT has always been frustrating but AI is about to make it worse, at scale. The answer is observable compliance: encoding legal intent directly into architecture. The post Lost in Translation: How AI Exposes the Rift Between Law and Logic appeared first on Towards Data S
A practitioner's warning about generated variables in causal analysis The post LLM Themes Are Not Observations appeared first on Towards Data Science.
Whenever you can rewrite an optimization problem so that fixing some variables makes the rest separable, you could try Benders. The post Benders’ Decomposition 101: How to Crack Open a Stochastic Program That’s Too Big to Swallow Whole appeared first on Towards Data Science.
If you don't want to be left behind, start doing these things with Claude The post 3 Claude Skills Every Data Scientist Needs in 2026 appeared first on Towards Data Science.
Most LLM failures in production aren’t random — they’re predictable. The post Prompt Engineering Isn’t Enough — I Built a Control Layer That Works in Production appeared first on Towards Data Science.
How unlearning fixes mode collapse in synthetic survey replies The post Can LLMs Replace Survey Respondents? appeared first on Towards Data Science.
AI agents can quickly become expensive without a clear strategy for planning, skill coverage, and budgets. This article shows how to use operations research and data science to optimize AI agent cost and resource allocation. You will learn how to frame common agent problems—skill coverage, project a
The real challenge in building reliable AI The post From Possible to Probable AI Models appeared first on Towards Data Science.
Apply coding agents to your domain in a safe manner The post How to Safely Run Coding Agents appeared first on Towards Data Science.
Why production LLM systems need live web search to overcome knowledge cutoffs and stale training data The post Grounding LLMs with Fresh Web Data to Reduce Hallucinations appeared first on Towards Data Science.
The syntax and semantics of mathematics The post Introduction to Lean for Programmers appeared first on Towards Data Science.
A practical walkthrough of building and deploying a multistage, multimodal recommender system on Amazon EKS, covering data pipelines, model training, Bloom filters, feature caching, and real-time ranking. The post Deploying a Multistage Multimodal Recommender System on Amazon Elastic Kubernetes Serv
A scalable semantic localization layer for entity and relationship reconciliation The post Proxy-Pointer RAG: Solving Entity and Relationship Sprawl in Large Knowledge Graphs appeared first on Towards Data Science.
95% of enterprise AI pilots fail to launch. Why? The post Why Your AI Demo Will Die in Production appeared first on Towards Data Science.