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Towards Data Science

Your home for data science and AI. The world’s leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

  • 23articles · 30d
  • 2+ day agolatest article
  • Aug 15, 2026earliest in window
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News

Towards Data Science
towardsdatascience.com > coding-agents-dont-need-longer-history-they-need-intent-continuity

Coding Agents Don't Need Longer History??? They Need Intent Continuity

2+ day, 15+ hour ago   (1738+ words) I built a system that automatically discovers, verifies, and applies relevant requirements from earlier interactions without asking the user where they came from. I built a complete, working implementation in pure Python and shared actual benchmark numbers from real runs…...

Towards Data Science
towardsdatascience.com > 5-ai-skills-that-will-keep-data-scientists-relevant-in-2027

5 AI Skills That Will Keep Data Scientists Relevant in 2027

1+ week, 5+ day ago   (1817+ words) What each one solves, and runnable code you can paste into a notebook. Anyone can now build an LLM demo with a single API call. Getting that same feature to survive real users, real data, and a real bill is…...

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towardsdatascience.com > your-llm-can-return-perfect-json-and-still-be-wrong

Your LLM Can Return Perfect JSON and Still Be Wrong

1+ week, 6+ day ago   (1426+ words) What I learned after thinking more carefully about Structured Outputs on messy, incomplete data Three weeks after I turned on Structured Outputs for a pipeline that parsed payment confirmation messages into transaction records, I noticed that our reconciliation job started…...

Towards Data Science
towardsdatascience.com > loop-engineering-for-rag-the-small-loops-inside-each-step-the-big-loops-across-the-pipeline

Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline

4+ week, 34+ min ago   (1680+ words) A one-shot pipeline commits to its first try: parse once, retrieve once, generate once, return whatever comes out. When retrieval comes back empty or the answer is half-formed, there is no second chance. A loop gives the pipeline one: notice…...

Towards Data Science
towardsdatascience.com > 4-claude-skills-every-data-scientist-needs-in-2026

4 Claude Skills Every Data Scientist Needs in 2026

2+ week, 1+ day ago   (1306+ words) Blueconic sets this cookie as a unique identifier for the BlueConic profile. Four skills worth adding to your workflow today if you don't want to be left behind A couple months ago I wrote about 3 Claude skills every data scientist…...

Towards Data Science
towardsdatascience.com > one-document-type-a-million-files-structured-extraction-into-the-sql-table-rag-queries

One Document Type, a Million Files: Structured Extraction into the SQL Table RAG Queries

2+ week, 5+ day ago   (1842+ words) Enterprise Document Intelligence [Vol.1 #14C] - One hour with two people, six to ten fields, and the two signals that separate a real column from one that will break a filter later A lot of RAG work right now goes into letting…...

Towards Data Science
towardsdatascience.com > why-we-fine-tuned-siglip-and-why-thats-not-always-the-right-call

Why We Fine-Tuned SigLip (And Why That???s Not Always the Right Call)

3+ week, 1+ day ago   (833+ words) LoRA fine-tuning solved our under-labeling problem. Whether it makes sense for you depends on three questions. Image classifiers can be built in many ways. The modern default approach is to run images through a third-party API which internally uses a…...

Towards Data Science
towardsdatascience.com > making-the-knowledge-layer-a-graph-you-actually-traverse

Making the Knowledge Layer a Graph You Actually Traverse

3+ week, 3+ day ago   (1731+ words) Why retrieval quality should be a property of the system, not of the question's wording? Rebuilding knowledge layer with graph traversal on every query, bitemporal edges, and two-threshold entity resolution. The architecture held up. The contradiction register refused to answer…...

Towards Data Science
towardsdatascience.com > scaling-an-integration-pipeline-without-breaking-correctness

How to Scale an Integration Pipeline Without Breaking Correctness

3+ week, 4+ day ago   (1069+ words) A production account of the throughput work behind a 16x jump — and the two guarantees it was never allowed to trade away Two guarantees sat underneath every throughput change, and every one of the optimizations later in this article is built…...

Towards Data Science
towardsdatascience.com > graph-engineering-isnt-about-more-connections-its-about-which-ones-get-used

Graph Engineering Isn???t About More Connections??? It???s About Which Ones Get Used

3+ week, 5+ day ago   (1671+ words) I expected adding more communication pathways between agents to dramatically change network performance. It didn't. Figuring out why turned into a more useful article than the one I set out to write. This article shows a full working implementation in…...