Frank Emmert-Streib's Books

Mathematical Foundations of Data Science Using R

By: Frank Emmert-Streib,Salissou Moutari,Matthias Dehmer

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Mathematical Foundations of Data Science Using R

By: Frank Emmert-Streib,Salissou Moutari,Matthias Dehmer

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.

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Page Count

424

Publisher

Walter de Gruyter GmbH & Co KG

Published Date

ISBN 10

3110796066

ISBN 13

9783110796063

Computational Network Theory

Theoretical Foundations and Applications

By: Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl

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Computational Network Theory

Theoretical Foundations and Applications

By: Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl

This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.

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Page Count

200

Publisher

John Wiley & Sons

Published Date

ISBN 10

3527691537

ISBN 13

9783527691531

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

By: Frank Emmert-Streib,Salissou Moutari,Matthias Dehmer

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Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

By: Frank Emmert-Streib,Salissou Moutari,Matthias Dehmer

The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book presents methods and implementations in R side-by-side, allowing the immediate practical application of the learning concepts. Furthermore, this teaches computational thinking in a natural way. The book includes exercises, case studies, Q&A and examples.

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Page Count

582

Publisher

Springer Nature

Published Date

ISBN 10

3031133390

ISBN 13

9783031133398

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

By: Frank Emmert-Streib,Salissou Moutari,Matthias Dehmer

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Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

By: Frank Emmert-Streib,Salissou Moutari,Matthias Dehmer

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

582

Publisher

Springer Nature

Published Date

ISBN 10

3031133390

ISBN 13

9783031133398

Book's by Frank Emmert-Streib

Mathematical Foundations of Data Science Using R

Mathematical Foundations of Data Science Using R

Computational Network Theory

Computational Network Theory

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

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