
Supervised Learning: Unlocking Predictions With Imperfect Labels
Supervised learning is a powerful branch of machine learning that empowers computers to learn from labeled data. By training algorithms on datasets where the desired output is known, we can create models capable of predicting outcomes for new, unseen data. This capability is applied across numerous industries, from fraud detection in finance to medical diagnosis in healthcare. Let's delve into the world of supervised learning and explore its intricacies, applications, and practical considerations.
What is Supervised Learning?
Defining Supervised Learning
Supervised learning is a type of machine learning where an algorithm learns from a dataset containing both input features and corresponding labels (or target variables). Think of it like teaching a child to identify different fruits: you s...