Data cleansing is the process of detecting and correcting errors or inconsistencies in data to improve its quality. It involves removing duplicate entries, fixing formatting issues, and filling in missing information so that the data is accurate and reliable. Clean data helps organisations make better decisions and reduces the risk of mistakes caused by incorrect…
Evaluation benchmarks are standard tests or sets of criteria used to measure how well a system, tool, or model performs. They provide a way to compare different approaches fairly by using the same tasks or datasets. In technology and research, benchmarks help ensure that results are reliable and consistent across different methods or products.
Feature attribution is a method used in machine learning to determine how much each input feature contributes to a model’s prediction. It helps explain which factors are most important for the model’s decisions, making complex models more transparent. By understanding feature attribution, users can trust and interpret the outcomes of machine learning systems more easily.
Hyperparameter optimisation is the process of finding the best settings for a machine learning model to improve its performance. These settings, called hyperparameters, are not learned from the data but chosen before training begins. By carefully selecting these values, the model can make more accurate predictions and avoid problems like overfitting or underfitting.
A knowledge graph is a way of organising information that connects facts and concepts together, showing how they relate to each other. It uses nodes to represent things like people, places or ideas, and links to show the relationships between them. This makes it easier for computers to understand and use complex information, helping with…
Vector embeddings are a way to turn words, images, or other types of data into lists of numbers so that computers can understand and compare them. Each item is represented as a point in a multi-dimensional space, making it easier for algorithms to measure how similar or different they are. This technique is widely used…