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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.
Machine learning is the engine behind most modern AI applications — understanding its principles helps you identify where it can add value in your organisation.
Spotify's Discover Weekly playlist uses machine learning to analyse your listening habits and recommend songs you are likely to enjoy.
Artificial Intelligence (AI)
Artificial intelligence is the broad field of computer science focused on creating systems that can perform tasks typically requiring human intelligence. These tasks include understanding language, recognising images, making decisions, and learning from experience.
Deep Learning
Deep learning is a subset of machine learning that uses neural networks with many layers to learn complex patterns from large amounts of data. The 'deep' refers to the multiple layers that progressively extract higher-level features from raw input.
Supervised Learning
Supervised learning is a type of machine learning where the model is trained on labelled data — input-output pairs where the correct answer is provided. The model learns to map inputs to outputs and can then predict the correct output for new, unseen inputs.
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.