By James Wu,Stephen Coggeshall
Drawing at the authors’ twenty years of expertise in utilized modeling and information mining, Foundations of Predictive Analytics provides the elemental historical past required for reading information and development types for lots of sensible purposes, reminiscent of customer habit modeling, possibility and advertising analytics, and different components. It additionally discusses quite a few useful subject matters which are usually lacking from comparable texts.
The ebook starts with the statistical and linear algebra/matrix origin of modeling tools, from distributions to cumulant and copula features to Cornish–Fisher enlargement and different worthy yet hard-to-find statistical recommendations. It then describes universal and strange linear equipment in addition to well known nonlinear modeling methods, together with additive versions, timber, help vector computing device, fuzzy structures, clustering, naïve Bayes, and neural nets. The authors pass directly to conceal methodologies utilized in time sequence and forecasting, equivalent to ARIMA, GARCH, and survival research. additionally they current a variety of optimization suggestions and discover a number of targeted subject matters, similar to Dempster–Shafer theory.
An in-depth selection of crucial primary fabric on predictive analytics, this self-contained publication presents the required info for knowing quite a few thoughts for exploratory information research and modeling. It explains the algorithmic info in the back of every one procedure (including underlying assumptions and mathematical formulations) and exhibits how you can organize and encode info, choose variables, use version goodness measures, normalize odds, and practice reject inference.
The book’s site at www.DataMinerXL.com deals the DataMinerXL software program for development predictive types. the positioning additionally comprises extra examples and data on modeling.
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Extra info for Foundations of Predictive Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Foundations of Predictive Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) by James Wu,Stephen Coggeshall