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Mailund, Thomas.

Overview

Works:	1 works in 6 publications in 1 languages

Titles

R Data Science Quick Reference = A Pocket Guide to APIs, Libraries, and Packages / by: Mailund, Thomas.; SpringerLink (Online service) (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/aut]

Domain-Specific Languages in R = Advanced Statistical Programming / by: SpringerLink (Online service); Mailund, Thomas. (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/aut]

Introducing Markdown and Pandoc = Using Markup Language and Document Converter / by: SpringerLink (Online service); Mailund, Thomas. (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/aut]

Introduction to Computational Thinking = Problem Solving, Algorithms, Data Structures, and More / by: Mailund, Thomas.; SpringerLink (Online service) (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/aut]

Metaprogramming in R = advanced statistical programming for data science, analysis and finance / by: Mailund, Thomas.; SpringerLink (Online service) (Language materials, printed)

The joys of hashing = hash table programming with C / by: Mailund, Thomas.; SpringerLink (Online service) (Language materials, printed)

Pointers in C Programming = A Modern Approach to Memory Management, Recursive Data Structures, Strings, and Arrays / by: SpringerLink (Online service); Mailund, Thomas. (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/aut]

Functional data structures in R = advanced statistical programming in R / by: SpringerLink (Online service); Mailund, Thomas. (Language materials, printed)

The Joys of Hashing = Hash Table Programming with C / by: SpringerLink (Online service); Mailund, Thomas. (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/aut]

Beginning Data Science in R 4 = Data Analysis, Visualization, and Modelling for the Data Scientist / by: SpringerLink (Online service); Mailund, Thomas. (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/aut]

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Subjects

Artificial intelligence. Machine learning. Programming Language. Data Structures. Domain-specific programming languages. Open source software. Computer Science. Programming Techniques. Computer programming. Compilers and Interpreters. Algorithms. C (Computer program language) Python (Computer program language). Probability and Statistics in Computer Science. Big Data. Mathematical statistics. R (Computer program language) Artificial Intelligence. Data mining. Professional Computing. Functional programming (Computer science) Machine Learning. Web Development. Computer science. Mathematical statistics Big data. Hashing (Computer science) Computing Methodologies. Computer Science, general. Programming Languages, Compilers, Interpreters. Programming languages (Electronic computers). Compilers (Computer programs). Data Mining and Knowledge Discovery. Software Engineering. Python. Algorithm Analysis and Problem Complexity. Computer software. Open Source. Data structures (Computer science) Object-oriented programming (Computer science)

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