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Автор: Matthew Rudd
Издательство: Manning Publications
Год: 2022
Страниц: 207
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB
A friendly, fun guide to making accurate predictions and revealing relationships in your data using linear and logistic regression. Regression, a Friendly Guide teaches you how to predict future outcomes and understand important relationships in your data using regression. This easy-to-read book is written for readers who don’t have an advanced math background. It introduces essential concepts and notation step-by-step, with plenty of entertaining and concrete examples. The ideal preparation for this book is some previous experience with basic statistics: summary statistics (mean, median, standard deviation, quartiles), common distributions (normal, t, binomial), basic probability, common visualizations (histograms, bar charts), and significance tests. Don’t worry if these aren’t all familiar, but be prepared to do a little extra homework when they come up and let me know when you have questions. You should be comfortable programming in a data-friendly language like R, Python, or Julia; based on my own experience and preferences, I use R and tools from the tidyverse throughout the book, but the core statistical ideas are language agnostic.