Cargando…

Learning R programming: become an efficient data scientist with R

Detalles Bibliográficos
Autor principal:	Ren, Kun
Lenguaje:	eng
Publicado:	Packt Publ. 2016
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2236081

Ejemplares similares

Developing analytic talent : becoming a data scientist
por: Granville, Vincent
Publicado: (2014)

Hands-on exploratory data analysis with R: become an expert in exploratory data analysis using R packages
por: Datar, Radhika, et al.
Publicado: (2019)

A data scientist's guide to acquiring, cleaning, and managing data in R
por: Buttrey, Samuel, et al.
Publicado: (2018)

Beginning data science in R: data analysis, visualization, and modelling for the data scientist
por: Mailund, Thomas
Publicado: (2017)

Learning Bayesian models with R: become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems
por: Koduvely, Hari M
Publicado: (2015)

Efficient data processing with R
por: Gillespie, Colin, et al.
Publicado: (2016)

Efficient R programming: a practical guide to smarter programming
por: Gillespie, Colin, et al.
Publicado: (2016)

Functional data structures in R: advanced statistical programming in R
por: Mailund, Thomas
Publicado: (2017)

Advanced R: data programming and the cloud
por: Wiley, Matt, et al.
Publicado: (2016)

Advanced R statistical programming and data models: analysis, machine learning, and visualization
por: Wiley, Matt, et al.
Publicado: (2019)

Modern R programming cookbook: recipes to simplify your statistical applications
por: Ren, Kun
Publicado: (2017)

CUDA Fortran for scientists and engineers: best practices for efficient CUDA Fortran programming
por: Fatica, Massimiliano, et al.
Publicado: (2014)

Introduction to machine learning with Python: a guide for data scientists
por: Müller, Andreas C, et al.
Publicado: (2017)

Feature engineering for machine learning: principles and techniques for data scientists
por: Zheng, Alice, et al.
Publicado: (2018)

Handbook for data scientists
por: Cady, Field
Publicado: (2017)

Data scientists at work
por: Gutierrez, Sebastian
Publicado: (2014)

Python data science essentials: become an efficient data science practitioner by understanding Python's key concepts
por: Boschetti Alberto, et al.
Publicado: (2016)

Beginning Julia programming: for engineers and scientists
por: Nagar, Sandeep
Publicado: (2017)

C programming for scientists and engineers with applications
por: Reddy, Rama N, et al.
Publicado: (2010)

R: unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules
por: Bali, Raghav, et al.
Publicado: (2016)

Data mining with R: learning with case studies
por: Torgo, Luis
Publicado: (2016)

Efficient R optimization
por: Gillespie, Colin, et al.
Publicado: (2016)

Functional programming in R: advanced statistical programming for data science, analysis and finance
por: Mailund, Thomas
Publicado: (2017)

R programming for bioinformatics
por: Gentleman, Robert
Publicado: (2008)

Hands-on programming with R
por: Grolemund, Garrrett
Publicado: (2014)

Development workflows for data scientists
por: Byrne, Ciara
Publicado: (2017)

Changing Software Development: Learning to Become Agile
por: Kelly, Allan
Publicado: (2008)

Learning R
por: Cotton, Richard
Publicado: (2013)

Learning Docker networking: become a proficient Linux administrator by learning the art of container networking with elevated efficiency using Docker
por: Dua, Rajdeep, et al.
Publicado: (2016)

Advanced object-oriented programming in R: statistical programming for data science, analysis and finance
por: Mailund, Thomas
Publicado: (2017)

Python machine learning case studies: five case studies for the data scientist
por: Haroon, Danish
Publicado: (2017)

Pragmatic Software Testing: Becoming an Effective and Efficient Test Professional
por: Black, Rex
Publicado: (2011)

Data analytics with Hadoop: an introduction for data scientists
por: Bengfort, Benjamin, et al.
Publicado: (2016)

Expert Python programming: become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7
por: Jaworski, Michał, et al.
Publicado: (2019)

Metaprogramming in R: advanced statistical programming for data science, analysis and finance
por: Mailund, Thomas
Publicado: (2017)

R programming fundamentals: deal with data using various modeling techniques
por: Medeiros, Kaelen
Publicado: (2018)

Advanced machine learning with R: tackle data analytics and machine learning challenges and build complex applications with R 3.5
por: Lesmeister, Cory, et al.
Publicado: (2019)

Learn R for applied statistics: with data visualizations, regressions, and statistics
por: Hui, Eric Goh Ming
Publicado: (2019)

Boost.Asio C++ network programming: learn effective C++ network programming with Boost.Asio and become a proficient C++ network programmer
por: Anggoro, Wisnu, et al.
Publicado: (2015)

R in action: data analysis and graphics with R
por: Kabacoff, Robert
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_gd2f6j32s1halmp2k6nt7srcp9