AI GLOSSARY

Machine Learning

Machine learning refers to systems which are able to learn and improve from relevant datasets without being explicitly programmed. Machine learning is a subset of artificial intelligence that involves training algorithms to recognise patterns and make decisions based on data. Instead of being explicitly programmed, machine learning models learn from examples and improve their performance over time. It is used in a wide range of applications, from fraud detection to predictive maintenance.

Resources:

Continue learning...

7 min read

Machine Learning Types and Their Infrastructure Use Cases

by Kimberly Joly

AI and Machine learning is a complex field with numerous models and varied techniques. Understanding these different types and the problems that each...

6 min read

The Business of AI in UK Defence and National Security

by Al Bowman

While the technical aspects of an AI system are important in Defence and National Security, understanding and addressing AI business considerations...

4 min read

The 8-Step Guide to Deploying Machine Learning in Infrastructure

by Kimberly Joly

The adoption of AI and Machine Learning is complex, and attempting it in civil engineering can feel daunting. This guide outlines the 8 steps...

AI GLOSSARY

Machine Learning

All Terms

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

B

C

D

E

F

G

H

I

L

M

N

O

P

R

S

T

U