Computer Science

a predefined group used to organise data that machine learning (ML) developers use to train classification models

each piece of data is annotated with one or more labels which provide information about that data

Classification

Introduction to AI

Machine learning

Predictive vs generative AI

Social and ethical issues of AI systems

Data driven models

Approaches to training machine learning models

Machine learning engines

This unit introduces pupils to the emerging field of data science. They will explore what AI systems are and the different categories of AI. The concept of machine learning and how models are driven by data will be explored. They will also consider the ethical and wider implications of AI systems.

Data science: AI and machine learning

What is the machine learning task called where data is assigned to predefined categories or groups?

information about which category a data point belongs to

the process of sorting data into categories

a machine learning model that assigns data to categories

Match each keyword to its correct definition.

What is one reason a classifier might make mistakes?

Why is classification important in AI systems?

predicting whether a message is positive or negative

calculating the total price of items in a basket

Which of the following is **not** a classification task?

Arrange these steps into the correct order to create a good classifier.

The model is trained with unlabelled data.

The model is trained with data that has answers provided.

What is a key feature of supervised learning?

grouping customers based on shopping behaviour without knowing their preferences

predicting tomorrow’s weather using past data

Which of the following is most likely to use unsupervised learning?

What kind of data does unsupervised learning use?

to label every data point with a category

What is the main goal of clustering in machine learning?

Arrange these actions for using clustering in unsupervised learning.

grouping data points based on similarities

Classification

Lesson outcome