Skip to content

Machine Learning

Machine Learning is a subset of artificial intelligence (AI) that involves the use of algorithms and statistical models to enable computers to learn from and make predictions or decisions based on data. It allows systems to improve their performance on tasks over time without being explicitly programmed. Machine learning applications include recommendation systems, fraud detection, image recognition, and natural language processing, among others.
Related Terms
Cross-Cutting ConceptCyclomatic ComplexityData ArchitectureEvent-Driven Architecture
What are common applications of machine learning?
Common applications of machine learning include recommendation systems, fraud detection, image recognition, and natural language processing, among others.
How does machine learning differ from traditional programming?
Machine learning differs from traditional programming in that it allows systems to learn from data and improve over time without being explicitly programmed for specific tasks.
Why is machine learning important in modern technology?
Machine learning is important in modern technology because it enables systems to make predictions, automate decisions, and improve efficiency across various applications and industries.