Read Linear Algebra and Its Applications with R (Textbooks in Mathematics)

Linear Algebra and Its Applications with R (Textbooks in Mathematics)

Ruriko Yoshida

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Description:The book developed from the need to teach a linear algebra course to students focused on data science and bioinformatics programs. These students tend not to realize the importance of linear algebra in applied sciences since traditional linear algebra courses tend to cover mathematical contexts but not the computational aspect of linear algebra or its applications to data science and bioinformatics.The author presents the topics in a traditional course yet offers lectures as well as lab exercises on simulated and empirical data sets. This textbook provides students a theoretical basis which can then be applied to the practical R and Python problems, providing the tools needed for real-world applications.Each section starts with working examples to demonstrate how tools from linear algebra can help solve problems in applied science. These exercises start from easy computations, such as computing determinants of matrices, to practical applications on simulated and empirical data sets with R so that students learn how to get started with R along with computational examples in each section and then they learn how to apply what they learn to problems in applied sciences.This book is designed from first principles to demonstrate the importance of linear algebra through working computational examples with R and python including tutorials on how to install R in the Appendix. If a student has never seen R, they can get started without any additional help.Since Python is one of the most popular languages in data science, optimization, and computer science, code supplements are available for students who feel more comfortable with Python. R is used primarily for computational examples to develop student's practical computational skills.Table of ContentsPrefaceList of FiguresList of Tables1. Systems of Linear Equations and Matrices2. Matrix Arithmetic3. Deteminants4. Vector Spaces5. Inner Product Space6. Eigen values and Eigen vectors7. Linear Regression8. Linear ProgrammingNetwork AnalysisAppendicesA) Introduction to RStudio via Amazon Web Service (AWS) B) Introduction to R Bibliography IndexBiographyDr. Ruriko Yoshida is an Associate Professor of Operations Research at the Naval Postgraduate School. She received her Ph.D. in Mathematics from the University of California, Davis. Her research topics cover a wide variety of areas: applications of algebraic combinatorics to statistical problems such as statistical learning on non-Euclidean spaces, sensor networks, phylogenetics, and phylogenomics. She teaches courses in statistics, stochastic models, probability, and data science.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Linear Algebra and Its Applications with R (Textbooks in Mathematics). To get started finding Linear Algebra and Its Applications with R (Textbooks in Mathematics), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 1000400247

Description: The book developed from the need to teach a linear algebra course to students focused on data science and bioinformatics programs. These students tend not to realize the importance of linear algebra in applied sciences since traditional linear algebra courses tend to cover mathematical contexts but not the computational aspect of linear algebra or its applications to data science and bioinformatics.The author presents the topics in a traditional course yet offers lectures as well as lab exercises on simulated and empirical data sets. This textbook provides students a theoretical basis which can then be applied to the practical R and Python problems, providing the tools needed for real-world applications.Each section starts with working examples to demonstrate how tools from linear algebra can help solve problems in applied science. These exercises start from easy computations, such as computing determinants of matrices, to practical applications on simulated and empirical data sets with R so that students learn how to get started with R along with computational examples in each section and then they learn how to apply what they learn to problems in applied sciences.This book is designed from first principles to demonstrate the importance of linear algebra through working computational examples with R and python including tutorials on how to install R in the Appendix. If a student has never seen R, they can get started without any additional help.Since Python is one of the most popular languages in data science, optimization, and computer science, code supplements are available for students who feel more comfortable with Python. R is used primarily for computational examples to develop student's practical computational skills.Table of ContentsPrefaceList of FiguresList of Tables1. Systems of Linear Equations and Matrices2. Matrix Arithmetic3. Deteminants4. Vector Spaces5. Inner Product Space6. Eigen values and Eigen vectors7. Linear Regression8. Linear ProgrammingNetwork AnalysisAppendicesA) Introduction to RStudio via Amazon Web Service (AWS) B) Introduction to R Bibliography IndexBiographyDr. Ruriko Yoshida is an Associate Professor of Operations Research at the Naval Postgraduate School. She received her Ph.D. in Mathematics from the University of California, Davis. Her research topics cover a wide variety of areas: applications of algebraic combinatorics to statistical problems such as statistical learning on non-Euclidean spaces, sensor networks, phylogenetics, and phylogenomics. She teaches courses in statistics, stochastic models, probability, and data science.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Linear Algebra and Its Applications with R (Textbooks in Mathematics). To get started finding Linear Algebra and Its Applications with R (Textbooks in Mathematics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Linear Algebra and Its Applications with R (Textbooks in Mathematics)

Linear Algebra and Its Applications with R (Textbooks in Mathematics)

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