Supervised Learning: Bridging Prediction And Causal Inference
Supervised learning, a cornerstone of modern machine learning, empowers Computers to learn from labeled datasets, enabling them to make predictions or decisions about new, unseen data. This powerful technique is used in a vast array of applications, from spam filtering and image recognition to medical diagnosis and fraud detection. This blog post will delve into the intricacies of supervised learning, exploring its core concepts, algorithms, applications, and the steps involved in building effective supervised learning models.
What is Supervised Learning?
The Basics of Labeled Data
At its core, supervised learning revolves around the concept of labeled data. This means that the training dataset contains both the input features and the desired output or "label." The algorithm learns the map...
