Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- Acknowledgment -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Data Characteristics -- Questionnaire and its components -- Understanding the data characteristics in an R environment -- Experiments with uncertainty in computer science -- Installing and setting up R -- Using R packages -- RSADBE - the books R package -- Python installation and setup -- Using pip for packages -- IDEs for R and Python -- The companion code bundle -- Discrete distributions -- Discrete uniform distribution -- Binomial distribution -- Hypergeometric distribution -- Negative binomial distribution -- Poisson distribution -- Continuous distributions -- Uniform distribution -- Exponential distribution -- Normal distribution -- Summary -- Chapter 2: Import/Export Data -- Packages and settings - R and Python -- Understanding data.frame and other formats -- Constants, vectors, and matrices -- Time for action - understanding constants, vectors, and basic arithmetic -- What just happened? …”

Materias:

“…Machine Learning with R, the tidyverse, and mlr gets you started in machine learning using R Studio and the awesome mlr machine learning package. …”

“…Explore the entire R3 Corda ecosystem using theory, labs, and use cases. …”

Materias:

Materias:

“…A Practical Guide to Implementing Nonparametric and Rank-Based ProceduresNonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. …”

“…Data visualization in R with ggplot2…”

Tabla de Contenidos: “…Cover ; Title Page ; Copyright ; Contents ; Preface ; Acknowledgments ; List of Tables ; 1: INTRODUCTION ; 1.1 Historical Background ; 1.2 Definition and Relationship to the Delta Method and Other Resampling Methods ; 1.2.1 Jackknife ; 1.2.2 Delta Method ; 1.2.3 Cross Validation ; 1.2.4 Subsampling ; 1.3 Wide Range of Applications ; 1.4 The Bootstrap and the R Language System ; 1.5 Historical Notes ; 1.6 Exercises ; References ; 2: ESTIMATION; 2.1 Estimating Bias ; 2.1.1 Bootstrap Adjustment ; 2.1.2 Error Rate Estimation in Discriminant Analysis…”

Tabla de Contenidos: “…Intro -- An Introduction to the Volume -- About the Australia-India Council -- Oration 1: 1994 K.R. Narayanan Oration -- Reforming India's Tax Base for Economic Development -- Oration 2: 1995 K.R. …”

Tabla de Contenidos: “…Innovation output Chapter 4. R&D organizational structure Chapter 5. Staged R&D project management Chapter 6. …”

Tabla de Contenidos: “…COVER; Acknowledgements; Abbreviations and Signs; Author's Foreword; Introduction; The Dictionary of the Work of W. R. Bion; Bibliography…”

“…Designed for photographers who haven't memorized every button, dial, setting, and feature on their Sony a7R IV, Rocky Nook's handy and ultra-portable quick reference Pocket Guide helps you get the shot when you're out and about. • Confirm that your camera is set up properly with the pre-shoot checklist • Identify every button and dial on your camera • Learn the essential modes and settings you need to know • Dive deeper with additional features of your camera • Execute step-by-step instructions for shooting multiple exposures, in-camera HDR, time-lapse movies, and more • Follow tips and techniques for getting great shots in typical scenarios (portrait, landscape, freezing action, low light, etc.)…”

Tabla de Contenidos: “…Editorial Introduction -- Part A: Analytic Advances and Methodology -- Part B: Structure and Spatial Characteristics of R&D Networks -- Part C: Impact of R& D Networks and Policy Implications -- Epilogue…”

Tabla de Contenidos: “…Cover -- Copyright -- Contributors -- Table of Contents -- Preface -- Chapter 1: Where and How to Use R and Python Scripts in Power BI -- Technical requirements -- Injecting R or Python scripts into Power BI -- Data loading -- Data transformation -- Data visualization -- Using R and Python to interact with your data -- Python and R compatibility across Power BI products -- Summary -- Test your knowledge -- Chapter 2: Configuring R with Power BI -- Technical requirements -- The available R engines -- The CRAN R distribution -- The Microsoft R Open distribution and MRAN -- Multi-threading in MRO -- Choosing an R engine to install -- The R engines used by Power BI -- Installing the suggested R engines -- The R engine for data transformation -- The R engine for R script visuals on the Power BI service -- What to do when the Power BI service upgrades the R engine -- Installing an IDE for R development -- Installing RStudio -- Installing RTools -- Linking Intel's MKL to R -- Configuring Power BI Desktop to work with R -- Debugging an R script visual -- Configuring the Power BI service to work with R -- Installing the on-premises data gateway in personal mode -- Sharing reports that use R scripts in the Power BI service -- R script visuals limitations -- Summary -- Test your knowledge -- Chapter 3: Configuring Python with Power BI -- Technical requirements -- The available Python engines -- Choosing a Python engine to install -- The Python engines used by Power BI -- Installing the suggested Python engines -- The Python engine for data transformation -- Creating an environment for data transformations using pip -- Creating an optimized environment for data transformations using conda -- Creating an environment for Python script visuals on the Power BI service -- What to do when the Power BI service upgrades the Python engine…”

Tabla de Contenidos: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Where to Go from Here -- Chapter 1 Data, Statistics, and Decisions -- The Statistical (and Related) Notions You Just Have to Know -- Samples and populations -- Variables: Dependent and independent -- Types of data -- A little probability -- Inferential Statistics: Testing Hypotheses -- Null and alternative hypotheses -- Two types of error -- Chapter 2 Introducing R -- Downloading R and RStudio -- A Session with R -- The working directory -- So let's get started, already -- Missing data -- R Functions -- User-Defined Functions -- R Structures -- Vectors -- Numerical vectors -- Matrices -- Factors -- Lists -- Lists and statistics -- Data frames -- Extracting data from a data frame -- for Loops and if Statements -- Chapter 3 Digging Deeper Into R -- Packages -- More on Packages -- R Formulas -- Reading and Writing -- Spreadsheets -- CSV files -- Text files -- Chapter 4 Finding Your Center -- Means: The Lure of Averages -- The Average in R: mean() -- What's your condition? …”