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 Название: Pocket Statistics: Learn to do everything with your data
Автор: Bharat Kwatra
Издательство: Reedsy
Год: 2020
Формат: epub/pdf(conv.)
Страниц: 369
Размер: 12.1 Mb
Язык: English
If you were about to learn statistics, what would your data say, and how would you interpret it?This learning and provocative question is at the core of the remarkable and easy learning book, Pocket Statistics. This book emerged from the data scientists working in different fields, designed to help people discover their statistical thinking, and then speak it out loud, developed by renowned scientist Bharat Kwatra.Provide all the data related professionals like Business, Researchers, and all other professionals with a clear and methodical approach to essential statistical procedures. The text clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. It features an emphasis on expressions involving sums of squares and degrees of freedom as well as a strong stress on the importance of variability.This accessible approach will help business professionals tackle such perennially mystifying topics as the standard deviation, variance interpretation of the correlation coefficient, hypothesis tests, degrees of freedom, p-values, and estimates of effect size.The book focuses equally on the theoretical as well as practical aspects of data science. You will learn how to implement elementary data science tools and algorithms from scratch. The book contains an in-depth theoretical and analytical explanation of all data science concepts.Pocket Statistics Provides an accessible overview of the field of statistical learning, an essential tools for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications.
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Автор: buratino 24-04-2020, 22:55 | Напечатать
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Pocket Statistics: Learn to do everything with your data 
