Your First WebAssembly Program and Web App (Written, Tested, and Deployed Entirely in the Web Browser)
Compiling and running C code with Emscripten and GitHub Codespaces — no local installation required.
The post Your First WebAssembly Program and Web App (Written, Tested, and Deployed Entirely in the Web Browser) appeared first on Towards Data Science.
Learning Word Vectors for Sentiment Analysis: A Python Reproduction
How to build sentiment-aware word representations from IMDb reviews using semantic learning, star ratings, and linear SVM classification
The post Learning Word Vectors for Sentiment Analysis: A Python Reproduction appeared first on Towards Data Science.
A step-by-step guide to understanding distributed data, lazy logic, and your first DataFrame.
The post PySpark for Beginners: Mastering the Basics appeared first on Towards Data Science.
A practitioner's argument that meeting summarizers fail in the same way regressions fail when you skip the part where you ask what the data can support.
The post LLM Summarizers Skip the Identification Step appeared first on Towards Data Science.
From tokenisation to evaluation : how modern language models actually work in practice
The post The Must-Know Topics for an LLM Engineer appeared first on Towards Data Science.
RAG Is Blind to Time — I Built a Temporal Layer to Fix It in Production
Three weeks into testing, a learner told me my AI tutor gave her the wrong answer.
Not obviously wrong — just outdated enough to mislead.
That was the moment I realized something most RAG systems quietly ignore: they have no sense of time. My system retrieved the most similar document, not the most ...
The AI Agent Security Surface: What Gets Exposed When You Add Tools and Memory
Standard prompt attacks are merely the beginning. A structured framework to map and mitigate the backend attack vectors of agentic workflows.
The post The AI Agent Security Surface: What Gets Exposed When You Add Tools and Memory appeared first on Towards Data Science.
When Customers Churn at Renewal: Was It the Price or the Project?
A practitioner's guide to causal attribution when two churn drivers arrive at once.
The post When Customers Churn at Renewal: Was It the Price or the Project? appeared first on Towards Data Science.
Unified Agentic Memory Across Harnesses Using Hooks
How hook implementation gives Claude Code, Codex, and Cursor persistent memory via Neo4j, without locking you into any one of them.
The post Unified Agentic Memory Across Harnesses Using Hooks appeared first on Towards Data Science.
How Major Reasoning Models Converge to the Same “Brain” as They Model Reality Increasingly Better
Because there's only one reality to model!
The post How Major Reasoning Models Converge to the Same “Brain” as They Model Reality Increasingly Better appeared first on Towards Data Science.
I Rewrote a Real Data Workflow in Polars. Pandas Didn’t Stand a Chance.
From 61 seconds to 0.20 seconds — and the mental model shift I didn't expect
The post I Rewrote a Real Data Workflow in Polars. Pandas Didn’t Stand a Chance. appeared first on Towards Data Science.
When the Uncertainty Is Bigger Than the Shock: Scenario Modelling for English Local Elections
A scenario analysis case study on calibrated uncertainty, historical error, and why some models are most useful when they refuse to forecast.
The post When the Uncertainty Is Bigger Than the Shock: Scenario Modelling for English Local Elections appeared first on Towards Data Science.
Timer-XL: A Long-Context Foundation Model for Time-Series Forecasting
Exploring the inner workings of a decoder-only Transformer foundation model
The post Timer-XL: A Long-Context Foundation Model for Time-Series Forecasting appeared first on Towards Data Science.
Discrete Time-To-Event Modeling – Predicting When Something Will Happen
Part 1: The basics — discretization of time, censoring and the life table
The post Discrete Time-To-Event Modeling – Predicting When Something Will Happen appeared first on Towards Data Science.
RAG Hallucinates — I Built a Self-Healing Layer That Fixes It in Real Time
Your RAG system isn’t failing at retrieval — it’s failing at reasoning. This article shows how I built a lightweight self-healing layer that detects and corrects hallucinations before they reach users.
The post RAG Hallucinates — I Built a Self-Healing Layer That Fixes It in Real Time appeared first...
Part 2. Building scale-invariant agents that seamlessly change contexts
The post Surviving High Uncertainty in Logistics with MARL appeared first on Towards Data Science.
How AI Tools Generate Technical Debt in IoT Systems — and What to Do About It
AI tools speed up IoT development — but closer to the hardware, the same code that looks correct can silently break thousands of devices at once.
The post How AI Tools Generate Technical Debt in IoT Systems — and What to Do About It appeared first on Towards Data Science.
Which Regularizer Should You Actually Use? Lessons from 134,400 Simulations
A practitioner's decision framework for Ridge, Lasso, and ElasticNet based on three quantities you can compute before fitting a model
The post Which Regularizer Should You Actually Use? Lessons from 134,400 Simulations appeared first on Towards Data Science.
How a 2021 Quantization Algorithm Quietly Outperforms Its 2026 Successor
One scale parameter determines accuracy in rotation-based vector quantization.
The post How a 2021 Quantization Algorithm Quietly Outperforms Its 2026 Successor appeared first on Towards Data Science.
4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers
How we replaced Python pipelines with dlt, dbt, and Trino — and cut delivery time from weeks to one day.
The post 4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers appeared first on Towards Data Science.
System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine
A deep dive into how Apache Flink works, why it exists, and learning it while building a real-time recommendation engine
The post System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine appeared first on Towards Data Science.