Introduction
Instruction and application
CompleteHave you ever wondered how your email automatically filters spam? Or how your music streaming app always seems to know what to recommend? Or how ads you scroll past on social media influence your fashion sense? All of this is powered by ML. But how do these systems learn, adapt and improve? This unit will dive into the methodologies and models that make this all possible, helping you understand how these cutting-edge technologies are transforming industries and daily life.
What will I learn in this unit?
By learning how to identify the right ML models for specific business problems — whether it’s classifying customer sentiment, predicting market trends or clustering user behaviours — you'll be prepared to apply these tools effectively, driving innovation and solving complex challenges across various industries.
Why does this unit matter?
ML is reshaping the business and technology landscape by enabling systems to automatically learn from data and improve over time without explicit programming. Understanding the methods and models behind ML can help you make more informed decisions in your own work.
For example, a retail company may use supervised learning to predict customer buying behaviour, allowing it to personalise offers and increase sales. Unsupervised learning can help a tech company like Netflix group users based on their viewing habits, enabling the platform to suggest shows tailored to their preferences. Even more advanced models like deep learning, powered by neural networks, are used in self-driving cars to interpret sensor data and make real-time decisions on the road.
Learning objectives
By the end of this unit, you will be able to:
- Analyse various ML methodologies, including supervised learning, semi-supervised learning and unsupervised learning.
- Evaluate common ML models (classification, regression and clustering) and their primary use cases.
- Describe advanced ML models, including neural networks, deep learning and NLPs.
- Identify appropriate ML models and algorithms for solving specific business problems.
Before you continue, make sure you've completed the following units:
- Unit 1: Introduction to machine learning and artificial intelligence
Action item: Pause and think
Before diving into the technical content of this unit on ML and AI, take a moment to reflect on a business or personal challenge you've encountered that could benefit from ML. Consider the questions below.