Supervised Learning: Beyond Accuracy Into Explainable AI
Supervised learning, a cornerstone of modern machine learning, empowers Computers to learn from labeled data, enabling them to make predictions or decisions on new, unseen data. From predicting customer churn to diagnosing medical conditions, supervised learning algorithms are revolutionizing industries by automating complex tasks and unlocking valuable insights. This article provides an in-depth exploration of supervised learning, covering its core concepts, common algorithms, practical examples, and best practices for implementation.
What is Supervised Learning?
Definition and Core Concepts
Supervised learning is a type of machine learning where an algorithm learns a function that maps an input to an output based on example input-output pairs. It's "supervised" because the algorithm is t...
