KEY AREAS

1. Supervised learning: It has a set of labelled data to train the model on. In a way, it means supervising a machine by providing a ton of information about a particular case and giving it the case outcome.
2. Unsupervised learning: 

Machine learning relies on defining behavioural rules by examining a set of data to find patterns. Since the main objective of ML is to enable machines to learn by themselves, given a set of data, it is merely a technique for realising AI.

Once you determine your specific goals and ensure they align with employee, customer, investor, and executive priorities, you’ll want to establish a framework that organizes and communicates the goals in a memorable, effective way. One approach is to organize goals into a broad framework around a...