Towards Data Science
Your AI Assistant Wrote the Code. Who Checked the Defaults?
Machine LearningYour AI Assistant Wrote the Code. Who Checked the Defaults?Five scikit-learn defaults that deserve a…
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GraphRAG: A Practitioner's Guide to 6 Advanced Architectural Patterns
By vectorizing documents and retrieving semantically similar chunks at query time, RAG mitigates hallucinations,…
Towards Data Science
CBAM Paper Walkthrough: The Double-Attention Mechanism
As the name suggests, this is essentially a block we can attach to a CNN-based model to enhance feature quality by…
Towards Data Science
One Vendor, Four Spellings: How Deterministic Stages Beat Similarity Scores
Then the fuzzy matcher ran, and no threshold could safely merge the rest.My agency buys editorial placements from…
Towards Data Science
AI Made Me 5x Faster. It Also Made Me 5x Worse at My Job.
One is halfway through a migration nobody wanted to do by hand. Their eyes move between panes like someone who put…
Towards Data Science
Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them
You ask an LLM agent for what you want, and you get a polished interface in seconds. The promise is that you'll never…
Towards Data Science
We Pinned Our Model Version to Stay Safe. The Provider Deprecated It Anyway.
Machine LearningWe Pinned Our Model Version to Stay Safe. The Provider Deprecated It Anyway.The recurring cost of…
Towards Data Science
Starting a Career in Data Science in the Age of AI
It was a really hard question to answer, because I myself entered the workforce almost 20 years ago, and the field of…
Towards Data Science
Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer
Agentic AIMulti-Agent Coding Isn’t Enough — Agents Need a Commitment LayerMulti-agent coding systems don't necessarily…
Towards Data Science
Building a Data Lakehouse with DuckDB and DuckLake
Sure, there were other options like the mainframe systems from companies such as ICL and IBM, but they were very…
Towards Data Science
How I Built a Multi-Agent System for Interrupted Time Series Analysis (ITSA)
Agentic AIHow I Built a Multi-Agent System for Interrupted Time Series Analysis (ITSA)What it takes to turn…
Towards Data Science
Why You Think Like a Bayesian but Were Taught Like a Frequentist
It defines probability through the cold, objective lens of repeatable data. In the frequentist world, probability is…
Towards Data Science
When Does Graph RAG Actually Add Value? A Hands-On Experiment
A researcher conducted a hands-on experiment comparing four AI retrieval architectures, including plain RAG, Graph…
Towards Data Science
How to Make Linear Regression Survive Outliers
Data ScienceHow to Make Linear Regression Survive OutliersRobust Estimation Series: comparing classical and modern…
Towards Data Science
Silent Broadcasting Can Ruin Your Model
It might even be derailing your work right now. In this article I highlight how a single mismatched tensor dimension…
Towards Data Science
The KV Cache Tax: Why Inference Servers Run Out of Memory Before Compute
You sized your cluster for the weights, the optimizer states, and the gradients, and once the model was trained, the…
Towards Data Science
The N Squared Pizza Problem
Machine LearningThe N Squared Pizza ProblemWhat ordering and not eating a large pizza tells us about ML memory…
Towards Data Science
Reparameterization Tricks: Variance Reduction by Smarter Gradients
It works by moving randomness outside the computation graph and turns an awkward gradient of an expectation into an…
Towards Data Science
How to Build Consistent Designs with Claude Code
Image by ChatGPT.Creating consistent designs throughout your application seems like a very trivial task that you can…
Towards Data Science
Seizing the Moment: The Hidden Silhouette of Data
Evaluating Generative Models via Fréchet Inception Distance (FID)3. Method of MomentsSection 6: In ConclusionSection…
Towards Data Science
How Many Labeled Examples Does a Text Classifier Actually Need? I Measured It.
NLPHow Many Labeled Examples Does a Text Classifier Actually Need? Zero-shot classification with a modern LLM needs no…
Towards Data Science
Your Model’s MSE Is Lying to You
Machine LearningYour Model’s MSE Is Lying to YouFirst in a series on probabilistic forecasting for physical signals.…
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When to Use One Model and When to Use a Team of Agents
It was a monthly capacity reconciliation job. We had used a 2 week capture window as the source of truth for a job…
Towards Data Science
Graph Engineering for AI Agents: From Prompts and Loops to Workflows
Agentic AIGraph Engineering for AI Agents: From Prompts and Loops to WorkflowsA viral debate over loops versus graphs…
Towards Data Science
From Static to Dynamic Skills: A Different Model for Agent Knowledge
Agentic AIFrom Static to Dynamic Skills: A Different Model for Agent KnowledgeWhy the skill-inflation panic is aimed…
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Your Model Isn't Done Until Someone Else Can Call It
As always, I decided to learn by building, because I still believe this is the best way to learn. The first project I…
Towards Data Science
Your AI Adoption Lift Is a Selection Effect
It is driving next quarter's roadmap.Nobody randomized the AI assistant. It shipped to eligible accounts, some of them…
Towards Data Science
One Capital Letter Was Silently Breaking My AI Support Bot, and It Wasn't in the New Model
Two structured responses appear on the right: one passes, while the other fails because a single label is formatted…
Towards Data Science
Stop Managing Alarms: An Incident-First Blueprint for Telecom AIOps
AI-generated illustration by the authors.A national-scale telecom network in which hundreds of downstream alarms…
Towards Data Science
Coding Agents Don't Need Longer History — They Need Intent Continuity
Agentic AICoding Agents Don't Need Longer History — They Need Intent ContinuityI built a system that automatically…
Towards Data Science
Software Design in the Age of AI
The rise of AI coding tools is shifting the focus of software development from writing code to robust software design.…
Towards Data Science
Demystifying Anthropic's J-Space: A Mathematical Primer
The authors present extensive empirical evidence validating this connection and demonstrate the utility of the J-space…
Towards Data Science
The 95% Illusion: Why Your Confidence Interval Isn't What You Think It Is
The article clarifies that a 95% confidence interval describes the long-run reliability of a statistical procedure…
Towards Data Science
How to Effectively Deploy Code With Claude Code
LLM Applications How to Effectively Deploy Code With Claude Code Learn how to optimize your CI/CD pipeline for coding…
Towards Data Science
Building an Agent-Ready Data Warehouse: What Traditional Architectures Do Wrong
Data Engineering Building an Agent-Ready Data Warehouse: What Traditional Architectures Do Wrong Giving an AI agent…
Towards Data Science
Variational Autoencoders (VAEs) Explained: From Theory to ELBO and the Reparameterization Trick
Deep Learning Variational Autoencoders (VAEs) Explained: From Theory to ELBO and the Reparameterization Trick A clear,…
Towards Data Science
SPP-Net Paper Walkthrough: Breaking the Fixed-Size Constraint
This was actually a problem because objects in our surroundings have varying dimensions. With humans and cars, for…
Towards Data Science
I Thought Loading Data Was the Finish Line. It Was the Starting Point.
Data Engineering I Thought Loading Data Was the Finish Line. Building my first dbt models and learning what…
Towards Data Science
How to Implement Structured Output with Local LLMs
LLM Applications How to Implement Structured Output with Local LLMs Why use it? Shuai Guo Aug 9, 2026 9 min read Share…
Towards Data Science
Before Q, K, and V: Reconstructing the Transformer
Deep Learning Before Q, K, and V: Reconstructing the Transformer Many Transformer explainers start with the finished…
Towards Data Science
Building a Streamlit UI for My LangGraph AI Agent
The agent handles the entire booking process like a real customer service representative. It’s a LangGraph-based agent…
Towards Data Science
Matplotlib vs Plotly: Which Python Chart Tool Should You Choose?
The article discusses the differences between Matplotlib and Plotly, two popular Python charting libraries. Matplotlib…
Towards Data Science
Loop Engineering for Listing Questions: When the Answer Is Every Passage, Not the Top One
Ask your pipeline to “list every exclusion in this policy” and watch what comes back: a clean, confident list of five…
Towards Data Science
The Problem with pandas Isn’t Performance. It’s Cognitive Overhead.
Data Science The Problem with pandas Isn’t Performance. Faster dataframe engines are nice, but they don't reduce the…
Towards Data Science
My Fall-Detection Model Scored 94%, and It Was Lying to Me
Machine Learning My Fall-Detection Model Scored 94%, and It Was Lying to Me How a single evaluation choice inflated my…
Towards Data Science
I Built an AI Data Agent Which Can Query Data and Answer Business Questions. Here’s How.
Agentic AI I Built an AI Data Agent Which Can Query Data and Answer Business Questions. A step-by-step guide to…
Towards Data Science
Last Month’s Machine Learning Lessons Learned
Productivity Last Month’s Machine Learning Lessons Learned The downside of conference travel Pascal Janetzky Aug 6,…
Towards Data Science
I Built a Tool-Calling Agent in Python. Here’s How I Debugged It
Agentic AI I Built a Tool-Calling Agent in Python. Here’s How I Debugged It A minimal loop with real API calls,…
Towards Data Science
Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer
A RAG pipeline gives you this answer: “the applicable sublimit is defined in Section 7.2 of the policy.” Now read it…
Towards Data Science
How a Frontier Model Gets Built, Read from the Kimi K3 Report
Large Language Models How a Frontier Model Gets Built, Read from the Kimi K3 Report An open, 2.8-trillion-parameter…
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