18. Artificial Intelligence

Machine learning

Systems that learn without being programmed to learn.

Deep learning

Machines that think in a way similar to the human brain. Handles huge amounts of data using an artificial neural networks.

Labelled data

Data where the target answer is known and data object is fully recognizable.

Unlabelled data

Data where objects are undefined and need to be manually recognised.

Supervised learning.

System which is able to predict future objects based on past data.

Unsupervised data

System which is able to identify hidden patterns from input data.

Reinforcement learning

System which is given no training. Learns on basis of reward and punishment.

Semi-supervised learning

System that interactively queries source data to reach the desired result.

Artificial neural network

Networks of interconnected nodes based on interconnections based on neurons in the human brain.

Back propagation

Method used in artificial neural networks to calculate error gradients to improve the performance of the model.

Regression

Statistical measure used to make predictions from data by finding learning relationships between inputs and outputs.