{"product_id":"machine-learning-toolbox-for-social-scientists-applied-predictive-analytics-with-r-hardcover","title":"Machine Learning Toolbox for Social Scientists: Applied Predictive Analytics with R - Hardcover","description":"\u003cp\u003eby \u003cb\u003eYigit Aydede\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eMachine Learning Toolbox for Social Scientists\u003c\/em\u003e 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 models, penalized regressions, model selection with sparsity, dimension reduction methods, nonparametric time-series predictions, graphical network analysis, algorithmic optimization methods, classification with imbalanced data, and many others. This book is targeted at students and researchers who have no advanced statistical background, but instead coming from the tradition of \"inferential statistics\". The modern statistical methods the book provides allows it to be effectively used in teaching in the social science and business fields.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eKey Features: \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eThe book is structured for those who have been trained in a traditional statistics curriculum.\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eThere is one long initial section that covers the differences in \"estimation\" and \"prediction\" for people trained for causal analysis.\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eThe book develops a background framework for Machine learning applications from Nonparametric methods.\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eSVM and NN simple enough without too much detail. It's self-sufficient.\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eNonparametric time-series predictions are new and covered in a separate section.\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eAdditional sections are added: Penalized Regressions, Dimension Reduction Methods, and Graphical Methods have been increasing in their popularity in social sciences.\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eYigit Aydede\u003c\/strong\u003e is a Sobey Professor of Economics at Saint Mary's University, Halifax, Nova Scotia, Canada. He is a founder member of the Research Portal on Machine Learning for Social and Health Policy, a joint initiative by a group of researchers from Saint Mary's and Dalhousie universities\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 586\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.31 x 10 x 7 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 22, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51750455378208,"sku":"9781032463957","price":187.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/017ab093a3636e3ecab1141fbf0cb8a3.webp?v=1779950696","url":"https:\/\/ebocreations.com\/products\/machine-learning-toolbox-for-social-scientists-applied-predictive-analytics-with-r-hardcover","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}