Loading
Loading
A recommendation system is an AI application that suggests relevant items to users based on their past behaviour, preferences, and similarities to other users. It uses techniques like collaborative filtering and content-based filtering to predict what a user will find valuable.
Recommendation systems drive a significant share of revenue for major platforms — Amazon attributes 35% of its sales to its recommendation engine.
Netflix uses a recommendation system to suggest shows based on your viewing history, ratings, and what similar users have enjoyed.
Personalisation
Personalisation is the use of AI to tailor content, products, or experiences to individual users based on their behaviour, preferences, and characteristics. It analyses user data in real time to deliver relevant recommendations and customised interfaces.
Machine Learning (ML)
Machine learning is a subset of AI where systems learn from data and improve their performance over time without being explicitly programmed for every scenario. Instead of following hard-coded rules, ML models identify patterns in data and use them to make predictions or decisions.
Clustering
Clustering is an unsupervised learning technique that groups similar data points together without predefined labels. The algorithm discovers natural patterns and structures in the data based on similarity measures.
Our programme follows a structured Level 4 curriculum with project-based learning, practical workflows, and guided implementation across business and career use cases. Funded route available for UK citizens and ILR holders.