Glossary for Advanced Users
Pattern Recognition is an AI technique that recognises patterns and structures in data. This approach involves identifying common features or characteristics and using these to classify or group data. Pattern Recognition has applications in speech recognition, image analysis, and fraud detection.
Predictive Analytics uses historical data and statistical modelling techniques to make predictions about future outcomes. By analysing patterns and trends within data, businesses can gain valuable insights and make informed decisions. Predictive analytics helps organisations optimise operations, anticipate customer behaviour, and drive growth.
Probabilistic Graphical Models is a type of statistical model used in Machine Learning and Artificial Intelligence. They represent complex relationships between variables through graphs and probabilities, making predictions based on incomplete or uncertain data.
Quantum Computing and AI are two fields that can complement and enhance each other. Quantum Computing can perform calculations faster and more efficiently than classical computing, making it ideal for complex AI tasks. Quantum AI has applications in drug discovery, optimisation, and cryptography.
Recommender Systems are AI systems that provide personalised recommendations to users based on their preferences and previous behaviour. These systems analyse large amounts of data and use Machine Learning algorithms to predict what a user might like. Recommender Systems are used in e-Commerce, content streaming, and social media.
Regression Analysis is a statistical technique used to determine the relationship between independent variables and a dependent variable. By analysing historical data, businesses can make predictions, identify trends, and understand the impact of different factors on business outcomes.
Reinforcement Learning is a branch of AI that focuses on training agents to make decisions through trial and error in a specific environment. By employing positive reinforcement and punishments, businesses can teach machines to optimise actions and learn from rewards, enabling autonomous decision-making in dynamic situations.
Robotics involves designing, building, and programming machines that can perform tasks autonomously or interact with humans. By combining AI with physical systems, businesses can automate processes, enhance productivity, and explore applications such as industrial automation and autonomous vehicles.
Robotics Process Automation is an AI technology that automates repetitive and routine tasks in business processes. RPA involves using software robots to emulate human actions, such as data entry and form filling. RPA can save time and reduce errors, enabling businesses to focus on higher-value tasks.
