Unraveling Machine Learning: Understanding Algorithms

Supervised Learning

Supervised learning is one of the most prevalent paradigms in machine learning. It involves training a model on a labeled dataset

Unsupervised Learning

Unsupervised learning, unlike supervised learning, deals with unlabeled data. The objective is to extract meaningful patterns

Reinforcement Learning

Reinforcement learning (RL) is a dynamic paradigm where an agent learns to make sequential decisions by interacting with an environment.