Machine Learning Toolbox for Social Scientists : Applied Predictive Analytics with R

Taylor & Francis Ltd

Machine Learning Toolbox for Social ScientistsApplied Predictive Analytics with R\nAuthor(s): Yigit Aydede\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Chapman & Hall/CRC\nISBN-13: 9781032463957, 978-1032463957\nSynopsis\nMachine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical \""tools\"" that make it mostly self-contained. The inferential statistics is the traditional framework for most data analytics courses in social science and business fields, especially in Economics and Finance. The new organization that this book offers goes beyond standard machine learning code applications, providing intuitive backgrounds for new predictive methods that social science and business students can follow. The book also adds many other modern statistical tools complementary to predictive methods that cannot be easily found in \""econometrics\"" textbooks: nonparametric methods, data exploration with predictive mod.