Introduction
Introduction
CompleteExploring the World of ML and AI
Have you ever wondered how online platforms predict what you might like next, or how fraud detection systems can spot unusual activity before you even notice?
These systems are powered by machine learning (ML) and artificial intelligence (AI). In this unit, we’ll cover everything from foundational concepts to industry applications, setting a solid foundation for your journey.
Why does this unit matter?
In today's rapidly evolving digital landscape, businesses are leveraging ML and AI to improve decision-making, optimise processes and deliver personalised experiences. Understanding these principles will not only enhance your technical knowledge but also give you a competitive edge.
Learning objectives
By the end of this unit, you will be able to:
- Define basic concepts of ML and AI, including the lifecycle and common models.
- Describe the relationship between ML and AI.
- Explain key applications in business operations (Computer Vision, NLP, GenAI).
- Outline the ML lifecycle stages, from planning to monitoring.
Action item: Pause and think
Before diving into the technical content, take a moment for self-reflection. Once you've reflected on these questions, you’ll be better prepared to dive deeper!
Do you have a basic understanding of data and algorithms? How comfortable are you with programming (e.g. Python)? How do you think ML and AI might be already impacting your daily work or business?
Type your reflection here...
Reflect on examples from your own experience where you’ve seen ML and AI being used (e.g., recommendations, fraud detection). How do these technologies shape business operations today?
Type your reflection here...
Reflect on the relationship between ML and AI. How do they complement each other in business? How might this understanding influence your ability to solve problems in your role?
Type your reflection here...