Types of Machine Learning

Introduction Machine learning is a branch of artificial intelligence that enables systems to learn from data and improve over time without explicit programming. It is broadly categorized into three main types: supervised learning, unsupervised learning, and reinforcement learning. Each type has its unique approach to learning and is suited to different kinds of problems. Supervised learning uses labeled data to train models, unsupervised learning identifies patterns in unlabeled data, and reinforcement learning learns through trial and error with feedback. Understanding these types is essential for selecting the right approach to solve specific machine learning challenges. Machine learning classes in Chandigarh can be broadly categorized into three main types based on the nature of the learning process and the availability of labeled data: Supervised Learning: In supervised learning, the algorithm is trained on a labeled dataset, where each input data point is associated with a corr...