Principles of Data Science: Advanced

Jeremy David Curuksu
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Jeremy David Curuksu: Amazon Web Services, Inc

Chapter 7 in Data Driven, 2018, pp 87-127 from Springer

Abstract: Abstract This chapter covers advanced analytics principles and applications. Let us first back up on our objectives and progress so far. In Chap. 6 , we defined the key concepts underlying the mathematical science of data analysis. The discussion was structured in two categories: descriptive and inferential statistics. In the context of a data science project, these two categories may be referred to as unsupervised and supervised modeling respectively. These two categories are ubiquitous because the objective of a data science project is always (bear with me please) to better understand some data or else to predict something. Chapter 7 thus again follows this binary structure, although some topics (e.g. computer simulation, Sect. 7.3) may be used to collect and understand data, forecast events, or both.

Date: 2018
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DOI: 10.1007/978-3-319-70229-2_7

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