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…
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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 converge into one actionable incident with a shared upstream cause.Authors: Amir Hossein Karami and Hamed…
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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…
Towards Data Science
Introduction to Semi-Supervised Learning
Machine Learning Introduction to Semi-Supervised Learning A primer about Semi-Supervised Learning, the approaches…
Towards Data Science
Is This Slop? Detecting AI-Generated Content Without a Model
Detecting AI-Generated Content Without a Model Research-backed cues to detect LLM-generated text along with the…
Towards Data Science
Building Document Structure with Loop Engineering: Recovering a PDF’s Outline from Body Typography for RAG
A structured RAG pipeline needs the document’s table of contents: retrieval scopes by section, and the chunker cuts on…
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The Medallion Data Architecture: An Introduction
A CSV arrives from one system, JSON comes from another, a Parquet file from somewhere else. Weeks and months go past,…
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How to Get More Statistical Power from Fewer Research Participants
I will tell you that history while explaining the simulation, like one of those online recipes that interweaves a…
Towards Data Science
Are Home Teams Favoured by Referees in Football/Soccer?
Data analysis Are Home Teams Favoured by Referees in Football/Soccer? Data Storytelling Series, Chapter 1 Ivo Bernardo…
Towards Data Science
Using Agents as Tools
Agentic AI Using Agents as Tools Building manager–specialist workflows with the OpenAI Agents SDK Shuai Guo Aug 4,…
Towards Data Science
Prompt, Context, Loop: The Three Engineering Layers Every RAG System Is Built On
Knowing which layer you are standing on is half of building and debugging RAG angela shi Aug 3, 2026 23 min read Share…
Towards Data Science
How to Build CLI Agents with Python & Ollama
CLI AI Agents are the latest step in the evolution of developer tools. They combine the power of LLMs with direct…
Towards Data Science
The AI Was the Easy Part: What Is a Forward-Deployed Engineer in a Supply Chain?
Artificial Intelligence The AI Was the Easy Part: What Is a Forward-Deployed Engineer in a Supply Chain? What actually…
Towards Data Science
How Claude Help Me Build My $200k+ ML Resume
Large Language Models How Claude Help Me Build My $200k+ ML Resume How use Claude to craft an outstanding resume that…
Towards Data Science
How to Apply Coding Agents to Non-Programming Tasks
Agentic AI How to Apply Coding Agents to Non-Programming Tasks Perform non-programming tasks with coding agents Eivind…
Towards Data Science
I Replaced a 15-Minute Booking Process with a LangGraph AI Agent
Artificial Intelligence I Replaced a 15-Minute Booking Process with a LangGraph AI Agent A step-by-step guide to…
Towards Data Science
Coding Agents Don’t Need Bigger Context Windows — They Need a Context Compiler
Coding agents often waste a large portion of their context windows on irrelevant code, reducing their efficiency. A…
Towards Data Science
Put the Agent Inside the Workflow
LLM Applications Put the Agent Inside the Workflow A hybrid LLM application pattern that combines a predefined…
Towards Data Science
The 3× Token Bill We Didn’t See Coming
Agentic AI The 3× Token Bill We Didn’t See Coming How a seemingly harmless move to a multi-agent architecture quietly…
Towards Data Science
When the Code Becomes the CEO: Why Your Next Manager Might Be a Decentralized Agentic Loop
Artificial Intelligence When the Code Becomes the CEO: Why Your Next Manager Might Be a Decentralized Agentic Loop In…
Towards Data Science
How to Debug AI Coding Agents When They Change the Wrong Thing
Agentic AI How to Debug AI Coding Agents When They Change the Wrong Thing A practical tutorial for recording model…
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How Benders Decomposition Works Part I: Optimality Cuts
Operations Research How Benders Decomposition Works Part I: Optimality Cuts A friendly introduction to one of the most…
Towards Data Science
The Python Ecosystem That Changed AI Development
Machine Learning The Python Ecosystem That Changed AI Development How one open-source ecosystem made state-of-the-art…
Towards Data Science
How to Organize All of Your Coding Agent Tasks
Agentic AI How to Organize All of Your Coding Agent Tasks Optimise how you interact with your coding agents Eivind…
Towards Data Science
How to Build a Context Layer and a Company Brain
Machine Learning How to Build a Context Layer and a Company Brain What it actually takes to turn a company's scattered…
Towards Data Science
A Simplified View of the Jacobian Conjecture
Math A Simplified View of the Jacobian Conjecture The full conjecture is stated over abstract fields, but the…
Towards Data Science
How to Decode the Temperature Parameter in LLMs
Large Language Models How to Decode the Temperature Parameter in LLMs How statistical physics explains the transition…
Towards Data Science
Prompt Engineering Is Solved—Prompt Management Isn’t
It’s what inevitably happens when a prompt’s input variables change and zero tooling checks the actual call sites…
Towards Data Science
Why Your Best Predictive Model Gives the Wrong Treatment Effect
Data Science Why Your Best Predictive Model Gives the Wrong Treatment Effect Why prediction-driven variable selection…
Towards Data Science
Los Movimientos, Part II: Solving Large Pickup-and-Delivery Problems with Adaptive Large Neighborhood Search
The article discusses using Adaptive Large Neighborhood Search (ALNS) to solve large-scale pickup-and-delivery routing…
Towards Data Science
Avoiding Entity Key Drift in a Data Lake: Step 1, Normalization
Assigning a primary key to an identifier string the first time you observe it is a reasonable starting point. An…
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