Data Science

Before Q, K, and V: Reconstructing the Transformer

Before Q, K, and V: Reconstructing the Transformer

08/08/2026 15:00 – Latest stories published on Towards Data Science

Many Transformer explainers start with the finished architecture. We ask why it looks the way it does. The post Before Q, K, and V: Reconstructing…

Building a Streamlit UI for My LangGraph AI Agent

Building a Streamlit UI for My LangGraph AI Agent

08/08/2026 13:00 – Latest stories published on Towards Data Science

Building a production-ready web interface for a stateful LangGraph agent The post Building a Streamlit UI for My LangGraph AI Agent appeared first on Towards…

Matplotlib vs Plotly: Which Python Chart Tool Should You Choose?

Matplotlib vs Plotly: Which Python Chart Tool Should You Choose?

07/08/2026 16:30 – Latest stories published on Towards Data Science

From Static Plots to Interactive Data Exploration The post Matplotlib vs Plotly: Which Python Chart Tool Should You Choose? appeared first on Towards Data Science.

Loop Engineering for Listing Questions: When the Answer Is Every Passage, Not the Top One

Loop Engineering for Listing Questions: When the Answer Is Every Passage, Not the Top One

07/08/2026 15:00 – Latest stories published on Towards Data Science

Enterprise Document Intelligence [Vol.1 #12] – The category of question most RAG pipelines silently fail on, and the pipeline shape that handles them The post…

The Problem with pandas Isn’t Performance. It’s Cognitive Overhead.

The Problem with pandas Isn’t Performance. It’s Cognitive Overhead.

07/08/2026 13:30 – Latest stories published on Towards Data Science

Faster dataframe engines are nice, but they don't reduce the amount of syntax an analyst has to hold in their head. The post The Problem…

My Fall-Detection Model Scored 94%, and It Was Lying to Me

My Fall-Detection Model Scored 94%, and It Was Lying to Me

07/08/2026 12:00 – Latest stories published on Towards Data Science

How a single evaluation choice inflated my results by 25 points, and what rebuilding honestly taught me about ML systems people might depend on The…

I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How.

I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How.

06/08/2026 16:30 – Latest stories published on Towards Data Science

A step-by-step guide to building a data agent and conversational interface that let business users to explore data in natural language without SQL The post…

Last Month’s Machine Learning Lessons Learned

Last Month’s Machine Learning Lessons Learned

06/08/2026 15:00 – Latest stories published on Towards Data Science

The downside of conference travel The post Last Month’s Machine Learning Lessons Learned appeared first on Towards Data Science.

I Built a Tool-Calling Agent in Python. Here’s How I Debugged It

I Built a Tool-Calling Agent in Python. Here’s How I Debugged It

06/08/2026 13:30 – Latest stories published on Towards Data Science

A minimal loop with real API calls, validation, compact outputs, and trace evidence before adding an agent framework The post I Built a Tool-Calling Agent…

Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer

Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer

06/08/2026 12:00 – Latest stories published on Towards Data Science

Enterprise Document Intelligence [Vol.1 #11] – When the first answer points elsewhere in the document, the pipeline loops back to fetch the linked context The…

How a Frontier Model Gets Built, Read from the Kimi K3 Report

How a Frontier Model Gets Built, Read from the Kimi K3 Report

05/08/2026 16:30 – Latest stories published on Towards Data Science

An open, 2.8-trillion-parameter model shipped with 47 pages of its own recipe. Reading it tells you what building a frontier model now involves, and how…

Introduction to Semi-Supervised Learning

Introduction to Semi-Supervised Learning

05/08/2026 15:00 – Latest stories published on Towards Data Science

A primer about Semi-Supervised Learning, the approaches taken with different algorithms and the limitations of using unlabelled data. The post Introduction to Semi-Supervised Learning appeared…

Is This Slop? Detecting AI-Generated Content Without a Model

Is This Slop? Detecting AI-Generated Content Without a Model

05/08/2026 13:30 – Latest stories published on Towards Data Science

Research-backed cues to detect LLM-generated text along with the mathematical intuition as to 'why' The post Is This Slop? Detecting AI-Generated Content Without a Model…

Building Document Structure with Loop Engineering: Recovering a PDF’s Outline from Body Typography for RAG

Building Document Structure with Loop Engineering: Recovering a PDF’s Outline from Body Typography for RAG

05/08/2026 12:00 – Latest stories published on Towards Data Science

Enterprise Document Intelligence [Vol.1 #5octies] – Rules propose, LLM validates: six deterministic signals on span-level typography surface heading candidates, one bounded loop keeps the real…

The Medallion Data Architecture: An Introduction

The Medallion Data Architecture: An Introduction

04/08/2026 16:30 – Latest stories published on Towards Data Science

A practical guide to Bronze, Silver and Gold, with a working Python and DuckDB example The post The Medallion Data Architecture: An Introduction appeared first…