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.

AI landscape

Let’s explore the AI landscape and how it is connected to the other subfields of computer science.

Machine learning

Machine learning is a subset of ...