Cargando…

Simulation for data science with R: harness actionable insights from your data with computational statistics and simulations using R

Detalles Bibliográficos
Autor principal:	Templ, Matthias
Lenguaje:	eng
Publicado:	Packt Publ. 2016
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2205056

Ejemplares similares

Mastering data analysis with R: gain clear insights into your data and solve real-world data science problems with R--from data munging to modeling and visualization
por: Daróczi, Gergely
Publicado: (2015)

Improve your data quality using sampling distribution: practical statistics for data science
por: Bruce, Peter C, et al.
Publicado: (2016)

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

Applied data science with Python and Jupyter: use powerful industry-standard tools to unlock new, actionable insights from your data
por: Galea, Alex
Publicado: (2018)

Improve the outcome of your data experiments with A-B testing: practical statistics for data science
por: Bruce, Peter C, et al.
Publicado: (2016)

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

R in action: data analysis and graphics with R
por: Kabacoff, Robert
Publicado: (2011)

Parallel computing for data science: with examples in R, C++ and CUDA
por: Matloff, Norman
Publicado: (2015)

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

Big data analytics with R: utilize R to uncover hidden patterns in your big data
por: Walkowiak, Simon
Publicado: (2016)

Data science using Python and R
por: Larose, Chantal D, et al.
Publicado: (2019)

Modern data science with R
por: Baumer, Benjamin S, et al.
Publicado: (2017)

R data analysis cookbook: a journey from data computation to data-driven insights
por: Ganguly, Kuntal
Publicado: (2017)

Statistical computing with R
por: Rizzo, Maria L
Publicado: (2015)

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

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

R data analysis projects: build end to end analytics systems to get deeper insights from your data
por: Subramanian, Gopi
Publicado: (2017)

Python vs. R for data science
por: Grogan, Michael
Publicado: (2018)

Big data analytics with SAS: get actionable insights from your big data using the power of SAS
por: Pope, David
Publicado: (2017)

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

Practical data science with Python 3: synthesizing actionable insights from data
por: Varga, Ervin
Publicado: (2019)

Statistics and data analysis for microarrays using R and bioconductor
por: Drăghici, Sorin
Publicado: (2012)

Statistical computing in C++ and R
por: Eubank, Randall L, et al.
Publicado: (2011)

Introduction to data science: data analysis and prediction algorithms with R
por: Irizarry, Rafael A
Publicado: (2020)

Oracle R Enterprise: harnessing the power of R in Oracle Database
por: Tierney, Brendan
Publicado: (2017)

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

Data science in R: a case studies approach to computational reasoning and problem solving
por: Nolan, Deborah, et al.
Publicado: (2015)

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

Computational actuarial science with R
por: Charpentier, Arthur
Publicado: (2015)

R for data science: import, tidy, transform, visualize, and model data
por: Wickham, Hadley, et al.
Publicado: (2016)

Hands-on data science with R: techniques to perform data manipulation and mining to build smart analytical models using R
por: Lanzetta, Vitor Bianchi, et al.
Publicado: (2018)

Julia for data science: explore the world of data science from scratch with Julia by your side
por: Joshi, Anshul
Publicado: (2016)

Oracle data integration: tools for harnessing data
por: Malcher, Michelle, et al.
Publicado: (2016)

Python for R users: a data science approach
por: Ohri, A
Publicado: (2018)

R data structures and algorithms: increase speed and performance of your applications with efficient data structures and algorithms
por: Prakash, PKS, et al.
Publicado: (2016)

New advances in statistics and data science
por: Chen, Ding-Geng, et al.
Publicado: (2018)

R cookbook: proven recipes for data analysis, statistics, and graphics
por: Long, J D, et al.
Publicado: (2019)

Introduction to scientific programming and simulation using R
por: Jones, Owen, et al.
Publicado: (2014)

Simulating data with SAS
por: Wicklin, Rick
Publicado: (2013)

Computer simulations in science and engineering: concepts, practices, perspectives
por: Durán, Juan Manuel
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_hjgtvb707239vmqn4ks6v6m97g