Machine Learning (ML) is a powerful part of artificial intelligence that teaches systems to learn from data. It enables computers to recognise patterns, make predictions, and improve over time without being manually programmed for each task. From everyday apps to advanced research, machine learning is behind many of the technologies we now take for granted.
There are four core types of machine learning. Each one takes a different approach to how a system processes data and learns from it.
1. Supervised Learning
Supervised learning is based on labelled data, meaning the input data is paired with the correct output. The system learns from these examples and applies what it learns to new, unseen data.
Common applications include:
- Regression – Predicting continuous values such as prices or temperatures.
- Classification – Categorising data into classes, like spam detection or disease diagnosis.
2. Unsupervised Learning
This type uses unlabelled data. The system identifies patterns or structures independently. It helps explore data and reveal hidden groupings.
Popular methods include:
- Clustering – Clustering groups similar data into sets. Example: customer segmentation.
- Dimensionality Reduction – Dimensionality reduction simplifies complex data and retains important patterns.
3. Reinforcement Learning
Reinforcement learning mimics how humans learn through experience. A system interacts with its environment, makes decisions, and learns from the rewards or penalties it receives.
This type is widely used in:
- Robotics
- Self-driving cars
- Strategy-based games
4. Semi-Supervised Learning
This hybrid approach uses a small amount of labelled data along with a larger set of unlabelled data. You might be new to tech or aiming to improve your skills. Our expert-led approach keeps learning focused and practical.
Semi-supervised learning helps achieve high accuracy with fewer labelled examples.
Learn from the Experts at LSET
Understanding machine learning marks the starting point. The London School of Emerging Technology (LSET) delivers practical experience, expert mentoring, and industry-relevant projects beyond classroom theory to build real-world skills.
For those seeking deep insights from leading professionals, LSET’s Expert Series is an ideal platform. These advanced sessions bring together experienced industry leaders to deliver focused knowledge in key areas like AI, Cyber Security, Cloud, and Data Science.
You may be new to tech or aiming to upskill; our expert-led approach ensures your learning is relevant and applied.