Grundlagen von Predictive Analytics (Chapman & Hall/CRC Data Mining und
Written by industry experts, this book introduces the various concepts, theorems, and algorithms widely used in statistical data analysis and data mining. It covers important topics in data mining, machine learning, and statistical pattern recognition, including linear and nonlinear regression models, time series analysis, and variable selection. The text also explores key topics that are not extensively covered in similar books, such as copula functions, incremental regression, censored data models, Dempster-Shafer theory, survival data analysis, and GARCH.
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