Data analysis is the process of understanding data through inspection, sampling, measurement, statistical review, and visualization. In AI projects, it supports early dataset assessment, experiment interpretation, model debugging, and evidence-based decisions before and after model development.
Obtaining an understanding of data by considering samples, measurement, and visualization. Data analysis can be particularly useful when a dataset is first received, before one builds the first model. It is also crucial in understanding experiments and debugging problems with the system.
Obtaining an understanding of data by considering samples, measurement, and visualization. Data analysis can be particularly useful when a dataset is first received, before one builds the first model. It is also crucial in understanding experiments and debugging problems with the system.