Computer Science

a type of ML engine that makes predictions by splitting data into branches using conditions

a type of ML engine consisting of interconnected nodes, organised in layers, that is trained to find patterns in data

an AI tool that produces pictures from a prompt using patterns it has identified in large collections of existing images

Machine learning engines

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

Classification

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

to create and train models that can solve problems using data

What is the main function of a machine learning engine?

Identify the conditions for splitting data.

Follow the branches to reach a prediction.

Make a final decision based on the path taken.

Put these steps in order for using a decision tree.

Neural networks always make decisions that are easy to understand.

Neural networks are inspired by decision trees.

It can be difficult to explain why a neural network made a certain decision.

Which statement about neural networks and transparency is correct?

Their decisions are always easy to explain.

Which statement about neural networks is true?

What is the term for when a machine learning model performs very well on its training data but fails to generalise to new, unseen data?

What does it mean when data is assigned to a “class” in machine learning?

What is the term for the information attached to each piece of data that tells a machine learning model which group it belongs to?

They tell the model what the correct group is for each example.

Why are labels important when training a classification model?

sorting emails into “important” and “not important” folders

Which of these is a real-world example of classification in AI?

information about which group data belongs to

Match each keyword to its correct definition.

Arrange these actions for using classification in an AI system.

Machine learning engines

Lesson outcome