BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Mathematical Foundations of Data Science Using R (De Gruyter STEM)

Mathematical Foundations of Data Science Using R (De Gruyter STEM)

Mathematical Foundations of Data Science Using R (De Gruyter STEM)
Stock photo: cover may vary

Mathematical Foundations of Data Science Using R (De Gruyter STEM) Hardback - 2022

by Frank Emmert-Streib/ Salissou Moutari/ Matthias Dehmer

Add to wish list
  • Used
New

Description

like new.
Ask the seller a question Add to wish list
A$148.68
A$5.82 Delivery within USA
Standard delivery: 2 to 14 days
More delivery options
Ships from GreatBookPrices (Maryland, United States)
The BIBLIO Guarantee

Details

About GreatBookPrices Maryland, United States

Biblio member since 2024

Since 1991, we have worked every day to serve our customers with state-of-the-art technology and world class service. We are dedicated to providing customers around the world with the widest selection of books, DVDs, and CDs at the absolute lowest price.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from GreatBookPrices

Reader reviews for Mathematical Foundations of Data Science Using R (De Gruyter STEM)

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

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.

About the author

Prof. Dr. Frank Emmert-Streib,
Tampere University, Finnland

Frank Emmert-Streib is a Professor of Data Science at Tampere University, Finland, in the Faculty of Information Technology and Communication Sciences. His research interests are in the fields machine learning, artificial intelligence, statistics and network science in the development and application of methods for the analysis of big data from genomics, finance, business and social media.

Prof Dr Matthias Dehmer
UMIT-The Health and Life Science University
Hall, Tyrol, Austria,


Matthias Dehmer is Professor at UMIT - The Health and Life Sciences University. Also he holds a Guest Professorship at Nankai University. His research interests are in complex networks, complexity, data science, predictive analytics, machine learning and information theory. He published more than 225 publications in computer science and related disciplines.

Dr. Salissou Moutari
Queens University Belfast, UK


Salissou Moutari is a Senior Lecturer at Queen's University Belfast (UK), Centre for Statistical Science and Operational Research. He has more than 10 years of experience in Operational Research, Statistical Data Analysis, Predictive, Prescriptive and Decisive Analytics and also dealt with Mathematical Modelling, Computational Mathematics and Complex Systems Analysis. He is currently working in Operational Research and Computational Mathematics. He published more than 35 peer-reviewed publications.

Please wait a moment while we load the requested page.

tracking-