A Unified Approach

摘要

The emerging discipline of statistical engineering focuses on how to link and integrate multiple methods-including those outside of statistics-in an overall approach to address complex problems.The discipline of data science has emerged to meet the challenges we, as a society, face with the influx of data that results from a dramatic increase in technology to manage, process and store data. It is difficult to remember a world without email, smart phones, or the ability to "Google" a person or a phrase. Further, this technology revolution has, to a large degree, "flattened" much of the world, in terms of providing people in developing countries unprecedented access to knowledge and information.The ability to acquire, store, process and analyze data has grown roughly exponentially for decades (Moore's law), resulting in larger data sets and more sophisticated methods to analyze this data. There are several methods involved in such analysis, such as statistics, analytics, artificial intelligence (Al), management science, data mining, operations research and machine learning. The term "data science" often is used to represent a combination of these analysis approaches with modern computer science and IT for data acquisition, processing and analysis.