Sentiment Analysis is an AI technique that analyses emotions and opinions expressed in text data. Sentiment analysis can classify text as positive, negative, or…
Top 100 Artificial Intelligence Glossary Of Terms
In today’s digitally-driven world, Artificial Intelligence, ChatBots, Machine Learning, and other related technologies have become indispensable tools for businesses. They enable companies to automate processes, deliver personalised user experiences, gain valuable insights from data, and improve overall operational efficiency.
Forward Thinking’s glossary aims to provide a clear and concise understanding of these relevant AI terms and their definitions, in order to keep up with this constantly evolving sector.
Speech Recognition enables machines to understand and interpret spoken words. By applying natural language processing techniques and AI models, businesses can develop speech recognition…
Supervised Learning is a Machine Learning approach where models are trained using labelled data, with both input and output pairs. By learning from the…
Support Vector Machines (SVMs) are Machine Learning algorithms used for classification and regression tasks. SVMs create decision boundaries and maximise the margin between different…
Swarm Intelligence is an AI approach that takes inspiration from the collective behaviour of social animals, such as bees and ants. These algorithms involve…
Synthetic Data is artificially generated data that mimics real-world data. Synthetic data can be used to train Machine Learning models when real data is…
Time Series Analysis is an AI technique that analyses data points collected over time. This approach involves detecting trends, patterns, and seasonality in the…
Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models…
Uncertainty in AI refers to the unpredictability or lack of full knowledge about a situation or outcome. AI models often encounter uncertainties due to…
