MHMona Hamidinllmzoomcamp.hashnode.dev·Jul 28, 2025 · 2 min readCosine Similarity, Hit Rate, and Vector Search: A Beginner's GuideWhy Traditional Search Falls Short Traditional keyword search engines can't handle semantic queries well.If someone searches for "How to change my password", a document titled "Reset your account credentials" might be ignored because the exact words ...00
MHMona Hamidinllmzoomcamp.hashnode.dev·Jun 29, 2025 · 2 min readBuilding Semantic Search: My Hands-On Experience with Vector EmbeddingsCompleted a comprehensive vector search homework using Qdrant and FastEmbed. Key learnings: normalized vectors simplify cosine similarity, combining text fields improves search quality, and smaller embedding models can still deliver great results. Th...00
MHMona Hamidinmlops1.hashnode.dev·Jun 28, 2025 · 2 min readMLOps Best Practices: Testing Machine Learning PipelinesBest Practices Journey In my journey through the MLOps Zoomcamp by DataTalks.Club, I've been learning how to apply software engineering best practices to machine learning projects. This week's focus was on testing and code quality, and I want to shar...00
MHMona Hamidinstockanalysis.hashnode.dev·Jun 23, 2025 · 2 min read💡 What I Learned from Reverse Engineering IPO PerformanceOver the past few days, I tackled an IPO analysis assignment that turned into a pretty eye-opening deep dive into market behavior, risk, and technical indicators. Here's a breakdown of what I learned from it — and why you might want to replicate some...00
MHMona Hamidinmlops1.hashnode.dev·Jun 23, 2025 · 3 min readMLOps Monitoring Architecture: Keeping Your Models Healthy in ProductionHow I built an end-to-end monitoring system that catches ML model issues before they become business problems TL;DR Built a comprehensive MLOps monitoring pipeline using: 🔍 Evidently AI for drift detection 📊 Grafana for visualization ⚡ Slack for...00