Instance vs Model Based Learning || Deep dive in Machine Learning

YouTube Excerpt: In this video, I explained how a model learns from data: 🔹 Instance-Based Learning 1. Model training data ko yaad rakhta hai 2. Prediction ke time new data ko training examples se compare karta hai 3. Koi explicit formula ya parameters learn nahi karta Examples: KNN (K-Nearest Neighbors) Case-based reasoning “Data hi model hota hai” 🔹 Model-Based Learning 1. Model data se patterns + parameters seekhta hai 2. Ek mathematical function / equation learn hoti hai 3. Training ke baad original data yaad rakhna zaroori nahi Examples: Linear Regression Logistic Regression Decision Tree Neural Networks “Data se formula seekhna = model”

In this video, I explained how a model learns from data: 🔹 Instance-Based Learning 1. Model training data ko yaad rakhta hai 2. Prediction ke...

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