Description: Applied Statistical Learning by Matthias Schonlau This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. FORMAT Hardcover CONDITION Brand New Publisher Description This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory material on statistical learning concepts and practical aspects, each further chapter is devoted to a statistical learning algorithm or a group of related techniques. In particular, the book presents logistic regression, regularized linear models such as the Lasso, nearest neighbors, the Naive Bayes classifier, classification trees, random forests, boosting, support vector machines, feature engineering, neural networks, and stacking. It also explains how to construct n-gram variables from text data. Examples, conceptual exercises and exercises using software are featured throughout, together with case studies in Stata, mostly from the social sciences; true to the books goal to facilitate the use of modern methods of data science in the field. Although mainly intended for upper undergraduate and graduatestudents in the social sciences, given its applied nature, the book will equally appeal to readers from other disciplines, including the health sciences, statistics, engineering and computer science. Author Biography Matthias Schonlau is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo, Canada. Prior to his academic career, he spent 14 years at the RAND Corporation, USA, the Max Planck Institute for Human Development in Berlin, Germany, the German Institute for Economic Analysis (DIW), the National Institute of Statistical Sciences, USA, and AT&T Labs Research, USA. He won the Humboldt Prize and was elected Fellow of the American Statistical Association. He has published more than 80 peer-reviewed articles and is also the lead author of the book Conducting Research Surveys via E-Mail and the Web (RAND Corporation). Table of Contents Preface.- 1 Prologue.- 2 Statistical Learning: Concepts.- 3 Statistical Learning: Practical Aspects.- 4 Logistic Regression.- 5 Lasso and Friends.- 6 Working with Text Data.- 7 Nearest Neighbors.- 8 The Naive Bayes Classifier.- 9 Trees.- 10 Random Forests.- 11 Boosting.- 12 Support Vector Machines.- 13 Feature Engineering.- 14 Neural Networks.- 15 Stacking.- Index. Details ISBN3031333896 Author Matthias Schonlau Publisher Springer International Publishing AG Series Statistics and Computing Year 2023 ISBN-13 9783031333897 Format Hardcover Imprint Springer International Publishing AG Subtitle With Case Studies in Stata Place of Publication Cham Country of Publication Switzerland Pages 332 Alternative 9783031333927 Illustrations 79 Illustrations, color; 2 Illustrations, black and white; XV, 332 p. 81 illus., 79 illus. in color. ISBN-10 3031333896 UK Release Date 2023-07-28 DEWEY 006.31 Audience Undergraduate Publication Date 2023-08-03 Edition Description 2023 ed. Edition 2023rd We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159471758;
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