Machine Learning: Fundamentals & Impact

What is Machine Learning and why it matters?; Core components: Data, Features, Models, Algorithms.; Learning paradigms: Supervised, Unsupervised, Reinforcement.; Deep Learning and real-world applications.; Limitations, ethical considerations, and future outlook.