👉 Computing objectives, also known as objectives in machine learning and artificial intelligence, refer to the goals or desired outcomes that a computational system aims to achieve during its operation. These objectives guide the design, training, and evaluation of algorithms and models by defining what success looks like in terms of performance or behavior. Objectives can range from classification accuracy and minimizing prediction errors to maximizing user engagement or optimizing resource usage. By establishing clear objectives, developers can tailor algorithms to specific tasks, ensuring that the computational systems not only process data effectively but also deliver meaningful and relevant results that align with human needs or business goals.
