5 functions you need to know to understand ML || A story of mathematical intuition.

Mathematics is the backbone of machine learning, and in this video, we break down the essential mathematical functions that power modern AI models. Whether you're a beginner or an advanced ML enthusiast, understanding these concepts will elevate your grasp of deep learning, optimization, and probabilistic modeling. 🔍 What You’ll Learn: 1. Loss Functions – How models learn from errors 2. Regularization – Preventing overfitting and improving generalization 3. KL Divergence – Measuring how one probability distribution differs from another 4. Entropy – Quantifying uncertainty in information th…