Introduction, overview, and applications
Abstract
In this mammoth chapter, we cover the basic background material in statistics, machine learning, and artificial intelligence needed to understand the ever-broadening field of analytics. This chapter also introduces the software, data mining, and knowledge discovery skills necessary for the data scientist to proceed toward meta-analytics, that is, the next generation of analytics in which systems are hybrid by design and use multiple analytics to deduce valuable information about the data. Two longer sections at the end of the chapter will show how to build a classifier from the ground up that incorporates much of the statistical approaches of the earlier sections.
Keywords
Algorithms; ...
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