The range of methods for teaching computers to solve problems independently

• Machine Learning
• Neural networks
• Pattern recognition
• Bot
• Supervised learning

A collection of data examples that contain features important to solving the problem.

• Dataset
• Machine Learning
• Neural networks
• Pattern recognition
• Bot

Used to evaluate how accurately the AI can predict an outcome.

• TESTING DATASET
• Dataset
• Machine Learning
• Neural networks
• Pattern recognition

involves training by using unlabeled data and allowing the model to act on that information without guidance.

• Unsupervised learning
• TESTING DATASET
• Dataset
• Machine Learning
• Neural networks

a technique in which we teach or train the machine using data which is well labelled

• Supervised learning
• Unsupervised learning
• TESTING DATASET
• Dataset
• Machine Learning

A computer program that has been trained to interact with people

• Bot
• Supervised learning
• Unsupervised learning
• TESTING DATASET
• Dataset

Training programs to recognise similarities between different pieces of data (such as images)

• Pattern recognition
• Bot
• Supervised learning
• Unsupervised learning
• TESTING DATASET

A type of machine learning modelled on the human brain

• Neural networks
• Pattern recognition
• Bot
• Supervised learning
• Unsupervised learning

A method of machine learning where the model learns from the consequences of its actions.

• Reinforcement learning

• Supervised learning

• Unsupervised learning

• Neural networks

• Pattern recognition

A subset of machine learning that uses algorithms inspired by the structure and function of the brain.

• Pattern recognition

• Supervised learning

• Neural networks

• Unsupervised learning

• Bot