Building a Spam/Fraud Detection System From Rules to ML
Learn how to evolve a fraud detection engine from deterministic heuristic rules to machine learning classification models.
10 articles tagged with Machine Learning
Learn how to evolve a fraud detection engine from deterministic heuristic rules to machine learning classification models.
Understand Federated Learning by building a simple FedAvg (Federated Averaging) algorithm in TypeScript. Train ML models across edge devices without centralizing private data.
Avoid over-engineering MLOps. Learn which machine learning lifecycle tasks (tracking, deployment, monitoring) to automate for small engineering teams.
Demystifying Diffusion Transformers (DiT). How 3D spatial-temporal patches, self-attention, Flow Matching, and VAE latents generate realistic video in 2026.
The 2026 WebGPU production adoption report. How WebGPU transformed in-browser 3D graphics, local LLM inference (WebLLM / ONNX Runtime), and video rendering.
Discover how context caching changes language model fine-tuning pipelines. Learn how to cache structural data tokens during backpropagation cycles.
Real labeled data for a narrow task is often scarce, expensive, or both. Generating it synthetically works — but only if you take the quality filtering and diversity steps as seriously as the generation itself.
A comprehensive developer guide to building high-performance, private, client-side AI applications utilizing Transformers.js and WebGPU hardware acceleration.
Why pay for an LLM API when your users have powerful GPUs? Learn how to run sophisticated AI agents entirely in the browser using WebGPU.
With the rise of pgvector, Postgres has become a formidable competitor to dedicated vector databases. Is it time to simplify your AI stack?