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. Explore a comprehensive AI/ML Roadmap to guide beginners in 2025. Learn about AI and Machine Learning concepts, tools, and skills to help you succeed in the field. What’s the difference between AI and machine learning? Learn about their connection, their benefits, and how they’re used in the world today. 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 ...
