Study Guides

Unit Summary

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.

Lesson Summary

You will learn to recognise the applications of machine learning and some common machine learning models.

Key Notes

• Machine learning (ML) is a form of artificial intelligence that allows systems to "learn" from data.
• Unlike traditional programming, where rules are manually written, ML models "learn" rules from the data itself.
• As new data is collected, ML models can be retrained to become more accurate and relevant over time.

Vocabulary To Learn

• machine learning: an approach used to design and build artificial intelligence (AI) systems that is said to "learn" by using examples in the form of data
• rule-based: a way of designing systems using a set of predefined rules
• data-driven: a way of designing systems using data instead of step-by-step instructions or rules

Common Mistakes To Avoid

• Machine learning is the same as artificial intelligence.

3 Quick Questions (With Answers)

More Lessons In This Unit

• Approaches to training machine learning models Study Guide
• Classification Study Guide
• Data driven models Study Guide
• Introduction to AI Study Guide
• Machine learning engines Study Guide
• Predictive vs generative AI Study Guide
• Social and ethical issues of AI systems Study Guide