What Is Machine Learning

Machine learning is a field of study in [[artificial-intelligence|artificial intelligence]] that focuses on the development of statistical algorithms that can learn from data and generalize to unseen data, allowing computers to perform tasks without explicit programming language instructions. This field is a subclass of [[computer-science|computer science]] and [[artificial-intelligence|artificial intelligence]], and has parts including [[online-machine-learning|online machine learning]], [[supervised-learning|supervised learning]], [[unsupervised-learning|unsupervised learning]], and [[reinforcement-learning|reinforcement learning]]. Machine learning is grounded in [[statistics|statistics]] and [[mathematical-optimization|mathematical optimization]], and is closely related to [[data-mining|data mining]] and [[mathematical-programming|mathematical programming]]. With the rise of [[deep-learning|deep learning]], [[neural-networks|neural networks]] have become a key component of many machine learning approaches, reportedly surpassing traditional methods in performance. As a result, machine learning has become a crucial aspect of many industries, including [[finance|finance]], [[healthcare|healthcare]], and [[technology|technology]], with applications in [[image-recognition|image recognition]], [[natural-language-processing|natural language processing]], and [[predictive-analytics|predictive analytics]].