Understanding Machine Learning: Supervised vs. Unsupervised Learning
In today’s data-driven world, understanding the basics of machine learning (ML) can unlock powerful insights for both businesses and individuals. Whether you’re looking to enhance decision-making, automate processes, or simply stay ahead in a tech-driven market, knowing the difference between supervised and unsupervised learning is a great place to start. What is Machine Learning? Machine learning is a branch of artificial intelligence that enables computers to learn from data without being explicitly programmed. Instead of following rigid rules, ML models find patterns in data and make predictions or decisions based on what they’ve learned. Supervised Learning: Learning with Guidance Think of supervised learning like learning with a teacher. The model is trained using a labeled dataset—meaning the data already includes the correct answers (or “labels”). Example: Imagine you want to predict house prices. You’d provide the model with past data that includes features like size, loc...
