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Statistical concepts are introduced in a problem-oriented way and with minimal formalism. eine Lösung finden können. Umschlag kann unter Umständen fehlen. Es kann sich unter Umständen um ein Mängelexemplar in gutem Zustand handeln.
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Statistics With R for Data Analysis, Hardcover by Nady, Mohsen, ISBN 1779563531, ISBN-13 9781779563538, Like New Used, Free shipping in the US This book introduces readers to the fundamental principles of statistics while leveraging R, a powerful programming language for data analysis. It covers essential topics such as data visualization, hypothesis testing, regression, and machine learning, equipping readers with the skills to analyze and interpret data effectively. With practical examples and hands-on exercises, th is suitable for beginners and intermediate learners looking to enhance their statistical analysis capabilities in academic and professional settings.
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Author: R a Fisher. Format: 00. Release Year: 2017. Type: Anthropology. Item Length: 140mm. Item Height: 216mm. Language: English. Release Date: 01/01/2017.
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The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building R programs.
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From the reviews:"For many people dealing with statistics is like jumping into ice-cold water. This metaphor is depicted by the cover of this book . full of excellent example code and for most graphs and analyses the code is printed and explained in detail. Each example finishes with valuable information for a person new to a technique. In summary, I highly recommend the book to anyone who is familiar with basic statistics who wants to expand his/her statistical knowledge to analyse ecological data." (Bernd Gruber, Basic and Applied Ecology, Vol. 10, 2009)"This book is written in a very approachable conversational style. The additional focus on the heuristics of the process rather than just a rote recital of theory and equations is commendable.
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This book starts with a review of the key concepts that underly statistical power. It goes on to show how to perform and interpret power analyses and the ways to use them to diagnose and plan research.
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