Statistical foundations of data science

Statistical Foundations of Data Science

Gives a comprehensive and systematic account of high-dimensional data analysis, including variable selection via regularization methods and sure indep

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Foundations of Data Science

This book is aimed towards both undergraduate and graduate courses in computer science on the design and analysis of algorithms for data. The materia

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Foundations of Multidimensional and Metric Data Structures

Discusses multidimensional point data, object and image-based representations, intervals and small rectangles, and high-dimensional datasets. This boo

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Foundations of Data Science with Python

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probabi

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Foundations of Statistics for Data Scientists

This book shows the elements of statistical science that are highly relevant for students who plan to become data scientists. However, most of the con

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Mathematical Foundations of Data Science Using R

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Basketball Data Science

This book will deal with statistical analysis of basketball data, with special attention to the most recent advances. The book will be of use to stati

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

This is a modern textbook in statistical inference, using the principles of data science through R and the Tidyverse. It assumes minimal background kn

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Improving the User Experience through Practical Data Analytics

Improving the User Experience through Practical Data Analytics is your must-have resource for making UX design decisions based on data, rather than hunches. Authors Fritz and Berger help the UX professional recognize and understand the enormous potential of the ever-increasing user data that is often accumulated as a by-product of routine UX tasks, such as conducting usab...

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Computer Age Statistical Inference

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes ...

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First Course in Statistical Programming with R

This book is for students who are learning computing to use in data science and scientific applications. It takes the reader from basic principles of

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Statistical Learning with Math and Python

This textbook approaches the essence of machine learning and data science by considering math problems and building Python programs. As the prelimin

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Statistics and Data Visualization in Climate Science with R and Python

A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and computing tools for the climate and re

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The Art of Statistics : Learning from Data - Spiegelhalter David

Anotace: `This marvellous book will transform your relationship with the numbers that swirl all around us. Read it and learn. I did` Tim HarfordStatistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, a...

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The Art of Statistics: Learning from Data (0241258766)

Kniha - autor David Spiegelhalter, 448 stran, anglicky, brožovaná bez přebalu matná Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic...

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Data Analytics for the Social Sciences

This book presents a complete exploration of statistical data analysis in R for a wide variety of social science disciplines and quantitative methods

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Lab Reports and Projects in Sport and Exercise Science

This revised edition sees the expansion of statistical examples including data checks, critical appraisal tools, project planning and ‘Challenge your

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