Towards Data Science

Using Causal Inference to Estimate the Impact of Tube Strikes on Cycling Usage in London

Luke Stuckey — Wed, 22 Apr 2026 18:00:00 +0000

Turning free-to-use data into a hypothesis-ready dataset

The post Using Causal Inference to Estimate the Impact of Tube Strikes on Cycling Usage in London appeared first on Towards Data Science.

Correlation vs. Causation: Measuring True Impact with Propensity Score Matching

Gustavo Santos — Wed, 22 Apr 2026 16:30:00 +0000

Learn how Propensity Score Matching uncovers true causality in observational data. By finding "statistical twins," we eliminate selection bias to reveal the real impact of your interventions and business decisions.

The post Correlation vs. Causation: Measuring True Impact with Propensity Score Matching appeared first on Towards Data Science.

From Ad Hoc Prompting to Repeatable AI Workflows with Claude Code Skills

Hajime Takeda — Wed, 22 Apr 2026 15:00:00 +0000

How I turned LLM persona interviews into a repeatable customer research workflow

The post From Ad Hoc Prompting to Repeatable AI Workflows with Claude Code Skills appeared first on Towards Data Science.

Ivory Tower Notes: The Methodology

Marina Tosic — Wed, 22 Apr 2026 13:30:00 +0000

A short intro to scientific methodology to combat "prompt in, slop out"

The post Ivory Tower Notes: The Methodology appeared first on Towards Data Science.

How to Run OpenClaw with Open-Source Models

Eivind Kjosbakken — Wed, 22 Apr 2026 12:00:00 +0000

Run OpenClaw assistant through alternative LLMs

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DIY AI & ML: Solving The Multi-Armed Bandit Problem with Thompson Sampling

Jacob Ingle — Tue, 21 Apr 2026 18:00:00 +0000

How you can build your own Thompson Sampling Algorithm object in Python and apply it to a hypothetical yet real-life example

The post DIY AI & ML: Solving The Multi-Armed Bandit Problem with Thompson Sampling appeared first on Towards Data Science.

Git UNDO : How to Rewrite Git History with Confidence

Omer Rosenbaum — Tue, 21 Apr 2026 16:30:00 +0000

For any data scientist who works in a team, being able to undo Git actions can be a life saver. This practical guide will teach you all you need to know to save the day.

The post Git UNDO : How to Rewrite Git History with Confidence appeared first on Towards Data Science.

How to Call Rust from Python

Thomas Reid — Tue, 21 Apr 2026 15:00:00 +0000

A guide to bridging the gap between ease of use and raw performance.

The post How to Call Rust from Python appeared first on Towards Data Science.

I Replaced GPT-4 with a Local SLM and My CI/CD Pipeline Stopped Failing

Benjamin Nweke — Tue, 21 Apr 2026 13:30:00 +0000

The hidden cost of probabilistic outputs in systems that demand reliability

The post I Replaced GPT-4 with a Local SLM and My CI/CD Pipeline Stopped Failing appeared first on Towards Data Science.

Your RAG Gets Confidently Wrong as Memory Grows – I Built the Memory Layer That Stops It

Emmimal P Alexander — Tue, 21 Apr 2026 12:00:00 +0000

As memory grows in RAG systems, accuracy quietly drops while confidence rises — creating a failure that most monitoring systems never detect. This article walks through a reproducible experiment showing why this happens and how a simple memory architecture fix restores reliability.

The post Your RAG Gets Confidently Wrong as Memory Grows – I Built the Memory Layer That Stops It appeared first on Towards Data Science.

What Does the p-value Even Mean?

Sara A. Metwalli — Mon, 20 Apr 2026 16:30:00 +0000

And what does it tell us?

The post What Does the p-value Even Mean? appeared first on Towards Data Science.

Context Payload Optimization for ICL-Based Tabular Foundation Models

Chinmay Kakatkar — Mon, 20 Apr 2026 15:00:00 +0000

Conceptual overview and practical guidance

The post Context Payload Optimization for ICL-Based Tabular Foundation Models appeared first on Towards Data Science.

The LLM Gamble

Stephanie Kirmer — Mon, 20 Apr 2026 13:30:00 +0000

Why it tickles your brain to use an LLM, and what that means for the AI industry

The post The LLM Gamble appeared first on Towards Data Science.

From Risk to Asset: Designing a Practical Data Strategy That Actually Works

Mike Huls — Mon, 20 Apr 2026 12:00:00 +0000

How to turn data into a strategic asset that enables faster decisions, reduces uncertainty, and helps the organization move toward its goals.

The post From Risk to Asset: Designing a Practical Data Strategy That Actually Works appeared first on Towards Data Science.

Proxy-Pointer RAG: Structure Meets Scale at 100% Accuracy with Smarter Retrieval

Partha Sarkar — Sun, 19 Apr 2026 15:00:00 +0000

Open source. 5-minute setup. Vector RAG done right—try it yourself.

The post Proxy-Pointer RAG: Structure Meets Scale at 100% Accuracy with Smarter Retrieval appeared first on Towards Data Science.

Dreaming in Cubes

Ansh Aggarwal — Sun, 19 Apr 2026 13:00:00 +0000

Generating Minecraft Worlds with Vector Quantized Variational Autoencoders (VQ-VAE) and Transformers

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KV Cache Is Eating Your VRAM. Here’s How Google Fixed It With TurboQuant.

Aman Vasisht — Sun, 19 Apr 2026 11:00:00 +0000

Explore the end-to-end pipeline of TurboQuant, a novel KV cache quantization framework. This overview breaks down how multi-stage compression achieves near-lossless storage through PolarQuant and QJL residuals, enabling massive context windows with minimal memory overhead

The post KV Cache Is Eating Your VRAM. Here’s How Google Fixed It With TurboQuant. appeared first on Towards Data Science.

Your RAG System Retrieves the Right Data — But Still Produces Wrong Answers. Here’s Why (and How to Fix It).

Emmimal P Alexander — Sat, 18 Apr 2026 15:00:00 +0000

Your RAG system is retrieving the right documents with perfect scores — yet it still confidently returns the wrong answer.
I built a 220 MB local experiment that proves the hidden failure mode almost nobody talks about: conflicting context in the same retrieval window. Two contradictory documents come back, the model picks one, and you get a fluent but incorrect response with zero warning.
This article shows exactly why it happens, the three production scenarios where it silently breaks, and the tiny pipeline layer that fixes it — no extra model, no GPU, no API key required.
The system behaved exactly as designed. The answer was still wrong.

The post Your RAG System Retrieves the Right Data — But Still Produces Wrong Answers. Here’s Why (and How to Fix It). appeared first on Towards Data Science.

AI Agents Need Their Own Desk, and Git Worktrees Give Them One

Ruben Broekx — Sat, 18 Apr 2026 13:00:00 +0000

Git worktrees, parallel agentic coding sessions, and the setup tax you should be aware of

The post AI Agents Need Their Own Desk, and Git Worktrees Give Them One appeared first on Towards Data Science.

How to Learn Python for Data Science Fast in 2026 (Without Wasting Time)

Egor Howell — Sat, 18 Apr 2026 11:00:00 +0000

What I wish I did at the beginning of my journey

The post How to Learn Python for Data Science Fast in 2026 (Without Wasting Time) appeared first on Towards Data Science.