Mathematical Foundations of Data Science Using R

Mathematical Foundations of Data Science Using R
Author: Frank Emmert-Streib
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 444
Release: 2022-10-24
Genre: Computers
ISBN: 3110796171

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The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data science.


Mathematical Foundations of Data Science Using R
Language: en
Pages: 444
Authors: Frank Emmert-Streib
Categories: Computers
Type: BOOK - Published: 2022-10-24 - Publisher: Walter de Gruyter GmbH & Co KG

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The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to
Mathematical Foundations of Data Science Using R
Language: en
Pages: 424
Authors: Frank Emmert-Streib
Categories: Computers
Type: BOOK - Published: 2022-10-24 - Publisher: Walter de Gruyter GmbH & Co KG

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The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to
Mathematical Foundations of Data Science Using R
Language: en
Pages: 407
Authors: Frank Emmert-Streib
Categories: Computers
Type: BOOK - Published: 2020-06-08 - Publisher: Walter de Gruyter GmbH & Co KG

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In order best exploit the incredible quantities of data being generated in most diverse disciplines data sciences increasingly gain worldwide importance. The bo
Foundations of Data Science
Language: en
Pages: 433
Authors: Avrim Blum
Categories: Computers
Type: BOOK - Published: 2020-01-23 - Publisher: Cambridge University Press

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This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and a
Mathematical Foundations for Data Analysis
Language: en
Pages: 299
Authors: Jeff M. Phillips
Categories: Mathematics
Type: BOOK - Published: 2021-03-29 - Publisher: Springer Nature

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This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data