Ai ml: ML encompasses a broader range

ML encompasses a broader range of algorithms, including shallow and deep models. To summarize, AI is the broadest concept encompassing the field of creating intelligent machines, while ML is a subset of AI that focuses on learning from data. DL, in turn, is a specialized area within ML that emphasizes deep neural networks. Machine learning is the subset of AI focused on algorithms that analyze and “learn” the patterns of training data in order to make accurate inferences about new data. Machine learning is a branch of Artificial Intelligence that focuses on developing models and algorithms that let computers learn from data without being explicitly programmed for every task. In simple words, ML teaches the systems to think and understand like humans by learning from the data. Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1] High-profile applications of ...