Data Science in Translational Vision Science and Technology
Typically, data scientists undertake exploratory data analysis by deploying machine learning principles and algorithms to identify patterns in raw data with the purpose of understanding processes and predicting outcomes.
Abstract
Data science involves the use of a variety of quantitative methods (e.g. mathematics, statistics, computer science) to extract useful information from structured and unstructured data.1 Typically, data scientists undertake exploratory data analysis by deploying machine learning principles and algorithms to identify patterns in raw data with the purpose of understanding processes and predicting outcomes. These analytic approaches include predictive causal analytics, prescriptive analytics, andmachine learning for pattern discovery and outcome prediction, and they require a large volume and variety of data (i.e. structured as well as unstructured data).