Materias:

Tabla de Contenidos: “…Using more sophisticated Shiny folder and file structures -- The www folder -- The global.R file -- Designing a user interface -- The head tag -- Adding a progress wheel -- Using a grid layout -- UI components of the marketing-campaign app -- Designing the server-side logic -- Variable scope -- Server components of the marketing-campaign app -- Deploying your Shiny app -- Located on GitHub -- Hosted on RStudio -- Hosted on a private web server -- Summary -- Appendix A: References -- Appendix B: Other Helpful R Functions -- Chapter 1 - Extract, Transform, and Load -- Chapter 2 - Data Cleaning -- Appendix C: R Packages Used in the Book -- Appendix D: R Code for Supporting Market Segment Business Case Calculations -- Index…”

Materias:

Tabla de Contenidos: “…. -- See also -- Chapter 4: R and Statistics -- Introduction -- Understanding data sampling in R -- Getting ready -- How to do it... -- How it works... -- See also -- Operating a probability distribution in R -- Getting ready -- How to do it... -- How it works... -- There's more... -- Working with univariate descriptive statistics in R -- Getting ready -- How to do it... -- How it works... -- There's more... -- Performing correlations and multivariate analysis -- Getting ready -- How to do it... -- How it works... -- See also -- Conducting an exact binomial test -- Getting ready -- How to do it... -- How it works... -- See also -- Performing a student's t-test -- Getting ready -- How to do it... -- How it works... -- See also -- Performing the Kolmogorov-Smirnov test -- Getting ready -- How to do it... -- How it works... -- See also -- Understanding the Wilcoxon Rank Sum and Signed Rank test -- Getting ready -- How to do it... -- How it works... -- See also -- Working with Pearson's Chi-squared test -- Getting ready -- How to do it... -- How it works…”

Tabla de Contenidos: “…-- Data stream task -- Use case and data -- Speed layer -- Batch layer -- Reservoir sampling -- Complete R code -- Summary -- Chapter 8: Analyze and Understand Networks Using R -- Graphs in R.…”

Materias:

Materias:

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Authors -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Advanced Analytics with R and Tableau -- Installing R for Windows -- RStudio -- Prerequisites for RStudio installation -- Implementing the scripts for the book -- Testing the scripting -- Tableau and R connectivity using Rserve -- Installing Rserve -- Configuring an Rserve Connection -- Summary -- Chapter 2: The Power of R -- Core essentials of R programming -- Variables -- Creating variables -- Working with variables -- Data structures in R -- Vector -- Lists -- Matrices -- Factors -- Data frames -- Control structures in R -- Assignment operators -- Logical operators -- For loops and vectorization in R -- For loops -- Functions -- Creating your own function -- Making R run more efficiently in Tableau -- Summary -- Chapter 3: A Methodology for Advanced Analytics Using Tableau and R -- Industry standard methodologies for analytics -- CRISP-DM -- Business understanding/data understanding -- CRISP-DM model - data preparation -- CRISP-DM - modeling phase -- CRISP-DM - evaluation -- CRISP-DM - deployment -- CRISP-DM - process restarted -- CRISP-DM summary -- Team Data Science Process -- Business understanding -- Data acquisition and understanding -- Modeling -- Deployment -- TDSP Summary -- Working with dirty data -- Introduction to dplyr -- Summarizing the data with dplyr -- Summary -- Chapter 4: Prediction with R and Tableau Using Regression -- Getting started with regression -- Simple linear regression -- Using lm() to conduct a simple linear regression -- Coefficients -- Residual standard error -- Comparing actual values with predicted results -- Investigating relationships in the data -- Replicating our results using R and Tableau together -- Getting started with multiple regression?…”

Tabla de Contenidos: “…Part 1: R Basics -- 1. Downloading R and Setting Up a File System -- 2. …”

Materias:

Materias: “…R (Computer program language)…”

Materias:

Materias:

Tabla de Contenidos: “…-- LSTM and GRU networks -- LSTM -- GRU -- RNNs from scratch in R -- Classes in R with R6 -- Perceptron as an R6 class -- Logistic regression -- Multi-layer perceptron -- Implementing a RNN -- Implementation as an R6 class -- Implementation without R6 -- RNN without derivatives - the cross-entropy method -- RNN using Keras -- A simple benchmark implementation -- Generating new text from old -- Exercises -- Summary -- Chapter 5: Sentiment Analysis with Word Embeddings -- Warm-up - data exploration -- Working with tidy text -- The more, the merrier - calculating n-grams instead of single words -- Bag of words benchmark -- Preparing the data -- Implementing a benchmark - logistic regression -- Exercises -- Word embeddings -- word2vec -- GloVe -- Sentiment analysis from movie reviews -- Data preprocessing -- From words to vectors -- Sentiment extraction -- The importance of data cleansing -- Vector embeddings and neural networks -- Bi-directional LSTM networks -- Other LSTM architectures -- Exercises -- Mining sentiment from Twitter -- Connecting to the Twitter API -- Building our model -- Exploratory data analysis -- Using a trained model -- Summary -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…Part 1: Business Case Analysis with R -- Chapter 1: A Relief from Spreadsheet Misery -- Chapter 2: Setting up the Analysis -- Chapter 3: Include Uncertainty in the Financial Analysis -- Chapter 4: Interpreting and Communicating Insights -- Part 2: It’s Your Move -- Chapter 5: "What Should I Do?" …”

Materias: “…R (Computer program language)…”

Materias: “…R (Computer program language)…”

Tabla de Contenidos: “…; Loading text files of a reasonable size; Data files larger than the physical memory; Benchmarking text file parsers; Loading a subset of text files; Filtering flat files before loading to R; Loading data from databases; Setting up the test environment; MySQL and MariaDB; PostgreSQL; Oracle database; ODBC database access; Using a graphical user interface to connect to databases; Other database backends; Importing data from other statistical systems…”

Tabla de Contenidos: “…Generation of pseudo-random numbers; 5. Programming in R; 6. Creating classes and methods in R; 7. Numerical linear algebra; 8. …”

Materias: “…R (Computer program language)…”