Catalog > Sciences > Computer Science > Application Software > Matthias Dehmer & Frank Emmert-Streib: Mathematical Foundations of Data Science Using R (PDF)

Matthias Dehmer & Frank Emmert-Streib
Mathematical Foundations of Data Science Using R [PDF ebook]

Support

Cover of Matthias Dehmer & Frank Emmert-Streib: Mathematical Foundations of Data Science Using R (PDF)

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.

€104.77

Buy this ebook and get 1 more FREE!

Language English ● Format PDF ● Pages 424 ● ISBN 9783110796063 ● Publisher De Gruyter ● Published 2022 ● Downloadable 3 times ● Currency EUR ● ID 9441493 ● Copy protection Adobe DRM

Requires a DRM capable ebook reader

More ebooks from the same author(s) / Editor

Matthias Dehmer Frank Emmert-Streib Salissou Moutari

16,941 Ebooks in this category

Cover of Wayne Murphy: C++ Cookbook

Wayne Murphy: C++ Cookbook

C++ continues to remain relevant despite the advent of many new modern languages. This book dives into the significant features of C++20 ("big four") and C++23, addressing challenges and im …

Cover of Charles W. Kann: Creating Components

Charles W. Kann: Creating Components

Concurrency is a powerful technique for developing efficient and lightning- fast software. For instance, concurrency can be used in common applications such as online order processing to speed proces …

Cover of Dan Aldred: Coding with the micro

Dan Aldred: Coding with the micro

A new title in the Quest Kids(R) children’s series that was launched by In Easy Steps in 2018, designed to make learning fun for children. Coding with the micro:bit – Create Cool Programming Projects …

Cover of Brian Lipp & Shubhadeep Roychowdhury: The Data Wrangling Workshop

Brian Lipp & Shubhadeep Roychowdhury: The Data Wrangling Workshop

A beginner”s guide to simplifying Extract, Transform, Load (ETL) processes with the help of hands-on tips, tricks, and best practices, in a fun and interactive way Key Features

Explore data …

Cover of Mario Casciaro & Luciano Mammino: Node.js Design Patterns

Mario Casciaro & Luciano Mammino: Node.js Design Patterns

Learn proven patterns, techniques, and tricks to take full advantage of the Node.js platform. Master well-known design principles to create applications that are readable, extensible, and that can gr …

Cover of Donald K. Burleson: Oracle Internals

Donald K. Burleson: Oracle Internals

If you are a typical Oracle professional, you don”t have the luxury of time to keep up with new technology and read all the new manuals to understand each new feature of the latest release from Orac …

Cover of Pam Lahoud & Pedro Lopes: Learn T-SQL Querying

Pam Lahoud & Pedro Lopes: Learn T-SQL Querying

Troubleshoot query performance issues, identify anti-patterns in code, and write efficient T-SQL queries Key Features

Discover T-SQL functionalities and services that help you interact with …

Cover of Robert C Martin: Architecture logicielle propre, 1CU 36 Mois

Robert C Martin: Architecture logicielle propre, 1CU 36 Mois

Vous n’imaginez pas le temps qu’une architecture logicielle bien soignee des le depart peut vous faire gagner. Vous pouvez augmenter fortement la productivite du developpement tout au long du cycle d …

Cover of Gavin Powell: Database Modeling Step by Step

Gavin Powell: Database Modeling Step by Step

With the aim of simplifying relational database modeling, Database Modeling Step-by-Step presents the standard approach to database normalization and then adds its own approach, which is a more simpl …

Cover of Donald J. Reifer: Software Maintenance Success Recipes

Donald J. Reifer: Software Maintenance Success Recipes

Software Maintenance Success Recipes identifies actionable formulas for success based on in-depth analysis of more than 200 real-world maintenance projects. It details the set of factors that are usu …