AI Landscape

AI is not ML

AI and ML are often used interchangeably. However, this is not exactly true because these two fields are unequal. ML is a subfield of AI that focuses on developing algorithms and statistical models that enable computers to learn and make data-based decisions. In contrast, AI focuses on creating intelligent systems through reasoning, learning, problem-solving, perception, and language understanding. ML systems improve their performance on a given task with experience, i.e., as they are exposed to more data, they learn and refine their models. The goals of both fields are different, too: AI focuses on mimicking human intelligence, while ML develops models that can make accurate predictions, often through the help of data.