COMPUTER FUNDAMENTALS

Detailed explanation-1: -There are four basic approaches:supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning. The type of algorithm data scientists choose to use depends on what type of data they want to predict.

Detailed explanation-2: -As explained by the researchers (Duffany, 2010), GPS, or navigation systems, can be viewed as a form of artificial intelligence, since these systems use stored map information to determine optimal route selection.

Detailed explanation-3: -Machine Learning algorithms can analyze existing images and data and identify changes in the new data. Thus, the maps are updated with only the recent changes. This increases the speed of mapping and allows for automation of mapping processes, while maintaining accuracy.