The book begins with an overview of decision trees and discusses how decision trees are related to other concepts such as decision theory, optimization, and statistical inference. The author then explores the use of decision trees in data mining tasks and describes how these techniques complement and supplement other business intelligence applications, such as dimensional cubes (also called OLAP cubes) and data mining approaches, such as regression, cluster analysis, and neural networks. The author then demonstrates how decision trees can be used to solve real-business problems by applying them to scenarios in manufacturing, sales forecasting, CRM applications and marketing analytics.
Read more ...Agile vs waterfall project management is an argument that’s been around for a long time.
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