MACHINE LEARNING

Detailed explanation-1: -By Reducing Human Error It is likely for humans to make mistakes in tedious and monotonous tasks, but computers can avoid such errors if programmed correctly. AI models make predictions by applying algorithms to the compiled data, thereby reducing errors and improving accuracy.

Detailed explanation-2: -The advantages range from streamlining, saving time, eliminating biases, and automating repetitive tasks, just to name a few. The disadvantages are things like costly implementation, potential human job loss, and lack of emotion and creativity.

Detailed explanation-3: -Advantages. Narrow AI systems can perform single tasks well, often better than humans. A weak AI system designed to identify cancer from X-ray or ultrasound images, for example, might be able to spot a cancerous mass in images faster and more accurately than a trained radiologist.