9618 · 18.1
Artificial Intelligence (AI) — FAQ
Frequently asked questions for 9618 Artificial Intelligence (AI). Direct answers first, then deeper explanation — then practise with marking.
What is the main difference between an expert system and a machine learning model?
An expert system operates on a set of explicit, human-programmed IF-THEN rules stored in a knowledge base. A machine learning model is not explicitly programmed with rules; instead, it learns its own internal rules and patterns by processing large amounts of data.
Is Artificial Intelligence the same as Machine Learning?
No. Machine Learning is a specific approach to achieving AI. AI is the broader, overall concept of creating machines that can simulate human intelligence. ML is a subset of AI, and Deep Learning is a further subset of ML.
Do I need to know how to code a neural network for the 9618 exam?
No, you are not required to write code for a neural network. You need to understand the conceptual model: the layered structure (input, hidden, output), the role of neurons and weights, the concept of training by adjusting weights, and its applications.
What is the difference between supervised and unsupervised learning?
The key difference is the data used for training. Supervised learning uses a labelled dataset, where the correct answer or output is provided for every input example. Unsupervised learning uses an unlabelled dataset, and the algorithm must find patterns or groupings within the data on its own.