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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Sonraí Bibleagrafaíochta
Príomhúdar:	Van der Loo, Mark P.J.. (Údar)
Údair Eile:	De Jonge, Edwin. (Auteur)
Formáid:	E-Book
Teanga:	Anglais
Foilsithe:	Birmingham : Packt Publishing, 2012.
Ábhair:	RStudio > logiciel.
Autres localisations:	Voir dans le Sudoc
Rochtain Ar Líne:	Accès à l'E-book

Míreanna Comhchosúla

RStudio for R statistical computing cookbook
le: Cirillo, Andrea.
Foilsithe: (2016)

Statistical analysis with R for dummies
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Introduction to statistical machine learning
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Foilsithe: (2015)

Applied statistics for environmental science with R
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Foilsithe: (2019)

Basic statistics with R : reaching decisions with data
le: Loftus, Stephen C. (19..-....; mathématicien).
Foilsithe: (2021)

Mastering machine learning with R
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Foilsithe: (2017)

Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data
le: Ivezic, Zeljko (1965-....).
Foilsithe: (2019)

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
le: Bali, Raghav (19..-....).
Foilsithe: (2016)

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

Probability and Statistics
le: Deep, Ronald.
Foilsithe: (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
le: Koduvely, Hari M..
Foilsithe: (2015)

R deep learning cookbook : solve complex neural net problems with TensorFlow, H2O and MXNet
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Foilsithe: (2017)

MATLAB for machine learning
le: Ciaburro, Giuseppe (19..-....).
Foilsithe: (2017)

The rise of statistical thinking : 1820-1900
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Foilsithe: (2020)

Statistical mechanics
le: Pathria, R. K..
Foilsithe: (2011)

Robust Statistics : Theory and Methods
le: Maronna, Ricardo (1940-....).
Foilsithe: (2006)

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

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

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

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

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

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

Machine learning for developers : uplift your regular applications with the power of statistics, analytics, and machine learning
le: Bonnin, Rodolfo.
Foilsithe: (2017)

Introduction to Statistical Physics
le: Huang, Kerson (1928-2016).
Foilsithe: (2001)

Learning QGIS 2.0 : use QGIS to create maps and perform all the geoprocessing tasks you need
le: Graser, Anita.
Foilsithe: (2013)

Learning Vue.js 2 : learn how to build amazing and complex reactive web applications easily with Vue.js
le: Filipova, Olga.
Foilsithe: (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
le: Toraldo, Giovanni.
Foilsithe: (2012)

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

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

OpenStack Cloud Computing Cookbook
le: Jackson, Kevin.
Foilsithe: (2018)

Machine Learning Algorithms : Reference guide for popular algorithms for data science and machine learning
le: Bonaccorso, Bonaccorso.
Foilsithe: (2017)

Mathematica Data Analysis : learn and explore the fundamentals of data anlysis with the power of Mathematica
le: Suchok, Sergiy.
Foilsithe: (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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Foilsithe: (2017)

Séries temporelles avec R
le: Aragon, Yves (1944-2021).
Foilsithe: (2016)

Réseaux bayésiens avec R
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Foilsithe: (2014)

Mastering RStudio : develop, communicate, and collaborate with R
le: Hillebrand, Julian.
Foilsithe: (2015)

R pour les scientifiques : mise en oeuvre de projets et valorisation des résultats
le: Rebaudo, François (1982-....).
Foilsithe: (2021)

Analyse factorielle multiple avec R
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Foilsithe: (2013)

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

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

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