Learning RStudio for R statistical computing : learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE

Learning RStudio for R statistical computing : learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE

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Bibliografiske detaljer
Hovedforfatter:	Van der Loo, Mark P.J.. (Auteur)
Andre forfattere:	De Jonge, Edwin. (Auteur)
Format:	E-Book
Sprog:	Anglais
Udgivet:	Birmingham : Packt Publishing, 2012.
Fag:	RStudio > logiciel.
Autres localisations:	Voir dans le Sudoc
Online adgang:	Accès à l'E-book

Lignende værker

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Statistical analysis with R for dummies
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Basic statistics with R : reaching decisions with data
af: Loftus, Stephen C. (19..-....; mathématicien).
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Mastering machine learning with R
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Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data
af: Ivezic, Zeljko (1965-....).
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R machine learning by example : understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
af: Bali, Raghav (19..-....).
Udgivet: (2016)

Practical machine learning in R
af: Nwanganga, Fred (19..-....).

Probability and Statistics
af: Deep, Ronald.
Udgivet: (2005)

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
af: Koduvely, Hari M..
Udgivet: (2015)

R deep learning cookbook : solve complex neural net problems with TensorFlow, H2O and MXNet
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MATLAB for machine learning
af: Ciaburro, Giuseppe (19..-....).
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The rise of statistical thinking : 1820-1900
af: Porter, Theodore M. (1953-....).
Udgivet: (2020)

Statistical mechanics
af: Pathria, R. K..
Udgivet: (2011)

Robust Statistics : Theory and Methods
af: Maronna, Ricardo (1940-....).
Udgivet: (2006)

Probability, statistics, and stochastic processes
af: Olofsson, Peter.

Moodle for mobile learning : connect, communicate, and promote collaboration with your coursework using Moodle
af: Aberdour, Mark.
Udgivet: (2013)

Machine learning avec Scikit-Learn : mise en oeuvre et cas concrets
af: Géron, Aurélien (19..-....).

Methods and applications of statistics in clinical trials.
af: Balakrishnan, Narayanaswamy (1956-....).
Udgivet: (2014)

Statistics for big data for dummies.
Udgivet: (2015)

Learning IPython for interactive computing and data visualization
af: Rossant, Cyrille (1985-....).
Udgivet: (2015)

Machine learning for developers : uplift your regular applications with the power of statistics, analytics, and machine learning
af: Bonnin, Rodolfo.
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Introduction to Statistical Physics
af: Huang, Kerson (1928-2016).
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Learning QGIS 2.0 : use QGIS to create maps and perform all the geoprocessing tasks you need
af: Graser, Anita.
Udgivet: (2013)

Learning Vue.js 2 : learn how to build amazing and complex reactive web applications easily with Vue.js
af: Filipova, Olga.
Udgivet: (2016)

OpenNebula 3 cloud computing : set up, manage, and maintain your cloud and learn solutions for datacenter virtualization with this step-by-step practical guide
af: Toraldo, Giovanni.
Udgivet: (2012)

Data mining and statistics for decision making
af: Tufféry, Stéphane (1965-....).
Udgivet: (2011)

Learning Julia : build high-performance applications for scientiﬁc computing
af: Joshi, Anshul.
Udgivet: (2017)

OpenStack Cloud Computing Cookbook
af: Jackson, Kevin.
Udgivet: (2018)

Machine Learning Algorithms : Reference guide for popular algorithms for data science and machine learning
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Mathematica Data Analysis : learn and explore the fundamentals of data anlysis with the power of Mathematica
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Udgivet: (2015)

OpenCV computer vision application programming cookbook : recipes to help your build computer vision applications that make the most of the popular C++ library OpenCV 3
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Séries temporelles avec R
af: Aragon, Yves (1944-2021).
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Réseaux bayésiens avec R
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Mastering RStudio : develop, communicate, and collaborate with R
af: Hillebrand, Julian.
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R pour les scientifiques : mise en oeuvre de projets et valorisation des résultats
af: Rebaudo, François (1982-....).
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Analyse factorielle multiple avec R
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Udgivet: (2013)

Machine learning for time series forecasting with Python
af: Lazzeri, Francesca (19..-....).

Computational Thinking
af: Denning, Peter J. (1942-....).

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