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1821Publicado 2023“…Relevant built-in functions and packages on CRAN are also provided with a sample code. R codes in the new edition not only enable readers to perform nonparametric analysis easily, but also to visualize and explore data using R's powerful graphic systems, such as ggplot2 package and R base graphic system. …”
Libro electrónico -
1822
Recurso de actualización contínua -
1823por Organisation for Economic Co-operation and Development.“…A fundamental starting point for better understanding of the impact of innovation on health is the measurement of R&D. This publication addresses this issue by looking in detail at measurement practices across ten OECD member countries as well as the main international sources…”
Publicado 2001
Libro electrónico -
1824por Organisation for Economic Co-operation and Development.“…Government R and D funding and company behaviour…”
Publicado 2006
Libro electrónico -
1825Publicado 2013Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- About the Authors -- Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop -- Introduction to Open Source R -- CRAN, Packages, and Task Views -- GUIs and IDEs -- Traditional R and Database Interaction vs. …”
Libro electrónico -
1826Publicado 2016Tabla de Contenidos: “…Cover ; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with R and Shiny! ; Installing R; The R console; Code editors and IDEs; Learning R; Getting help; Loading data; Data types and structures; Dataframes, lists, arrays, and matrices; Variable types; Functions; Objects; Base graphics and ggplot2; Bar chart; Line chart; Advanced tasks with dplyr and ggvis; Preparing the data; A simple interactive line plot; Installing Shiny and running the examples; Summary; Chapter 2: Building Your First Application…”
Libro electrónico -
1827Publicado 2018Materias: “…R (Computer program language)…”
Libro electrónico -
1828Publicado 2018Tabla de Contenidos: “…-- Kapitel 2: Bevor es losgeht: die mathematischen Bausteine eines neuronalen Netzes -- 2.1 Ein erster Blick auf ein neuronales Netz -- 2.2 Datenrepräsentationen -- 2.2.1 Skalare (0-D-Tensoren) -- 2.2.2 Vektoren (1-D-Tensoren) -- 2.2.3 Matrizen (2-D-Tensoren) -- 2.2.4 3-D-Tensoren und höherdimensionale Tensoren -- 2.2.5 Die wichtigsten Attribute -- 2.2.6 Bearbeiten von Tensoren in R -- 2.2.7 Datenstapel -- 2.2.8 Beispiele für Datentensoren aus der Praxis -- 2.2.9 Vektordaten -- 2.2.10 Zeitreihen oder sequenzielle Daten -- 2.2.11 Bilddaten -- 2.2.12 Videodaten -- 2.3 Das Getriebe von neuronalen Netzen: Tensoroperationen -- 2.3.1 Elementweise Operationen…”
Libro electrónico -
1829Applied data visualization with R and ggplot2 Create useful, elaborate, and visually appealing plotsPublicado 2018Materias:Libro electrónico
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1830Publicado 2019Tabla de Contenidos: “…Machine Learning with R Quick Start Guide: A beginner's guide to implementing machine learning techniques from scratch using R 3.5…”
Libro electrónico -
1831Materias: “…R (Llenguatge de programació)…”
Libro electrónico -
1832Publicado 2015Materias: “…R (Computer program language)…”
Libro electrónico -
1833por Chang, Winston“…In this webcast presented by Winston Chang, author of R graphics Cookbook, you'll learn the basics of how to create data graphics using R and the popular ggplot2 package. …”
Publicado 2014
Vídeo online -
1834Publicado 2015“…Signal R real-time application development…”
Libro electrónico -
1835
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1836
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1837
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1838Practical Business Analytics Using R and Python Solve Business Problems Using a Data-driven ApproachPublicado 2023Tabla de Contenidos: “…Section 1: Introduction to Analytics -- Chapter 1: Business Analytics Revolution -- Chapter 2: Foundations of Business Analytics -- Chapter 3: Structured Query Language (SQL) Analytics -- Chapter 4: Business Analytics Process -- Chapter 5: Exploratory Data Analysis (EDA) -- Chapter 6: Evaluating Analytics Model Performance -- Section II: Supervised Learning and Predictive Analytics -- Chapter 7: Simple Linear Regressions -- Chapter 8: Multiple Linear Regressions -- Chapter 9: Classification -- Chapter 10: Neural Networks -- Chapter 11: Logistic Regression -- Section III: Time Series Models -- Chapter 12: Time Series – Forecasting -- Section IV: Unsupervised Model and Text Mining -- Chapter 13: Cluster Analysis -- Chapter 14: Relationship Data Mining -- Chapter 15: Mining Text and Text Analytics -- Chapter 16: Big Data and Big Data Analytics -- Section V: Business Analytics Tools -- Chapter 17: R programming for Analytics -- Chapter 18: Python Programming for Analytics…”
Libro electrónico -
1839
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1840