A Panorama of Machine Learning Algorithms
Authors:-Taunk Mayur G
Abstract- Machine learning (ML) is a subset of artificial intelligence that empowers systems to learn from data without explicit programming. By employing statistical models and algorithms, ML enables computers to identify patterns, make predictions, and automate decision-making processes. This versatile field finds applications across numerous domains, from recommendation systems to medical diagnostics. This paper delves into the core methodologies of ML, including supervised, unsupervised, and reinforcement learning, to elucidate their principles and applications, with a particular focus on supervised learning algorithms.
