🎯 Goal: To give you a solid intuition for how and why calculus (especially derivatives and gradients) powers machine learning learning & optimisation. No need to master every detail — just enough to understand what’s going on when a model trains. 🧮 1️⃣ What’s Calculus Doing in ML? Calculus is all about change. In ML, […]

🎯 Goal: Help you understand and use vectors, matrices, and dot products — the building blocks behind ML models like linear regression, neural networks, and PCA. 🧱 1. What’s a Vector? ✅ Definition: A vector is just an ordered list of numbers — like a row or a column. In ML: 🧰 2. What’s a […]