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

Uloženo v:

Podrobná bibliografie
Hlavní autor:	Van der Loo, Mark P.J.. (Autor)
Další autoři:	De Jonge, Edwin. (Auteur)
Médium:	E-Book
Jazyk:	Anglais
Vydáno:	Birmingham : Packt Publishing, 2012.
Témata:	RStudio > logiciel.
Autres localisations:	Voir dans le Sudoc
On-line přístup:	Accès à l'E-book

Podobné jednotky

RStudio for R statistical computing cookbook
Autor: Cirillo, Andrea.
Vydáno: (2016)

Statistical analysis with R for dummies
Autor: Schmuller, Joseph (1947-....).

Introduction to statistical machine learning
Autor: Sugiyama, Masashi.
Vydáno: (2015)

Applied statistics for environmental science with R
Autor: Alkarkhi, Abbas F.M..
Vydáno: (2019)

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

Mastering machine learning with R
Autor: Lesmeister, Cory.
Vydáno: (2017)

Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data
Autor: Ivezic, Zeljko (1965-....).
Vydáno: (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
Autor: Bali, Raghav (19..-....).
Vydáno: (2016)

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

Probability and Statistics
Autor: Deep, Ronald.
Vydáno: (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
Autor: Koduvely, Hari M..
Vydáno: (2015)

R deep learning cookbook : solve complex neural net problems with TensorFlow, H2O and MXNet
Autor: Prakash, PKS..
Vydáno: (2017)

MATLAB for machine learning
Autor: Ciaburro, Giuseppe (19..-....).
Vydáno: (2017)

The rise of statistical thinking : 1820-1900
Autor: Porter, Theodore M. (1953-....).
Vydáno: (2020)

Statistical mechanics
Autor: Pathria, R. K..
Vydáno: (2011)

Robust Statistics : Theory and Methods
Autor: Maronna, Ricardo (1940-....).
Vydáno: (2006)

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

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

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

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

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

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

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

Introduction to Statistical Physics
Autor: Huang, Kerson (1928-2016).
Vydáno: (2001)

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

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

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

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

OpenStack Cloud Computing Cookbook
Autor: Jackson, Kevin.
Vydáno: (2018)

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

Mathematica Data Analysis : learn and explore the fundamentals of data anlysis with the power of Mathematica
Autor: Suchok, Sergiy.
Vydáno: (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
Autor: Laganière, Robert (19..-....).
Vydáno: (2017)

Séries temporelles avec R
Autor: Aragon, Yves (1944-2021).
Vydáno: (2016)

Réseaux bayésiens avec R
Autor: Denis, Jean-Baptiste (19..-....).
Vydáno: (2014)

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

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

Analyse factorielle multiple avec R
Autor: Pagès, Jérôme (1949-....).
Vydáno: (2013)

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

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

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1