Artificial Intelligence
Machine Learning (ML)
Also known as: ML & Machine Learning
Plain English
glossarySystemA system is a collection of interconnected components that work together to achieve a specific function or outcome.Open glossary term that learn from glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term.
Definition
Machine Learning is a subset of AI that enables glossarySystemA system is a collection of interconnected components that work together to achieve a specific function or outcome.Open glossary term to learn from glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term and improve glossaryPerformancePerformance refers to how quickly and efficiently a system responds to user actions and processes tasks.Open glossary term without being explicitly programmed.
In practice
Used for predictions, recommendations, and glossaryPatternA pattern is a reusable solution to a design problem that recurs across products and contexts. It captures an approach already shown to work, so a team solves the problem once rather than every time it appears.Open glossary term recognition in digital products.
In context
It becomes the right approach when the rules are real but nobody can articulate them: fraud glossaryPatternA pattern is a reusable solution to a design problem that recurs across products and contexts. It captures an approach already shown to work, so a team solves the problem once rather than every time it appears.Open glossary term, say, where experts recognise the signal without being able to write it down.
The reality
glossaryModelA model is a system or representation used to process data and generate outputs, often trained to perform specific tasks.Open glossary term require large amounts of quality glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term and ongoing tuning to remain effective.
Compared with
Machine Learning vs Artificial Intelligence
AI is the broad goal of machines performing tasks that need intelligence. Machine learning is the dominant method of getting there, learning glossaryPatternA pattern is a reusable solution to a design problem that recurs across products and contexts. It captures an approach already shown to work, so a team solves the problem once rather than every time it appears.Open glossary term from glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term rather than being programmed with them.
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What is machine learning?
It is a method where glossarySystemA system is a collection of interconnected components that work together to achieve a specific function or outcome.Open glossary term learn from glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term to improve over time.
How is machine learning used?
For predictions, recommendations, and glossaryAutomationAutomation is the use of technology to perform tasks with minimal human intervention.Open glossary term.
What is the difference between AI and ML?
AI is the broader concept, ML is a specific approach within it.
What does machine learning need to work?
Large amounts of quality glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term and training.
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