ML Explorations

🕹️ Reinforcement Learning Explained – Learn Like We Do! ML Insights Hub | Published: June 6, 2025 👋 What Is Machine Learning About? Machine Learning (ML) is how computers learn from data. You might’ve already learned about: Supervised Learning – where data has answers (like training with a teacher) Unsupervised Learning – where the system finds patterns without any answers (like exploring on your own) But what if the computer had to learn by experience , like a child learning to ride a bike or play a video game ? That’s exactly what Reinforcement Learning (RL) is all about. 🧠 What is Reinforcement Learning? Reinforcement Learning is a type of machine learning where an agent learns how to behave in an environment by performing actions and receiving rewards or penalties . It’s like learning from trial and error . The goal of the agent? 👉 Learn the best actions that lead to the maximum reward over time. 👶 A Simple Real-Life Analogy: Learning to Ride a Bicycle Let’s s...

🧠 Supervised vs Unsupervised Learning — In Simple Words ML Insights Hub | Published: June 6, 2025 👋 Introduction Machine Learning (ML) is like teaching a computer to learn from experience (data). There are two main types of learning: ✅ Supervised Learning 🧠 Unsupervised Learning Let’s understand both using real-life examples you can easily relate to. ✅ What is Supervised Learning? Supervised Learning is like learning with a teacher . You give the computer: 📥 Input data (e.g., house size, location) ✅ Correct output (e.g., house price) The computer learns how to predict the correct output for new input data. 🎓 School Analogy: Imagine your teacher gives you math problems with answers . You learn faster because you know what’s right and wrong. 🏠 Real-Life Example: House Price Prediction 🏠 House Size 📍 Location 💰 Price 1000 sqft City Center ₹80 Lakhs 1500 sqft Suburb ₹60 Lakhs 1200 sqft City Center ₹75 Lakhs The computer l...