Автор: Chiu (David Chiu) Yu-Wei Название: Machine Learning With R Cookbook Издательство: Packt Publishing Год: 2015 ISBN: 978-1783982042 Язык: English Формат: pdf Размер: 10,1 mb Страниц: 405
The R language is a powerful open source functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics.
This book covers the basics of R by setting up a user-friendly programming environment and performing data ETL in R. Data exploration examples are provided that demonstrate how powerful data visualization and machine learning is in discovering hidden relationships. You will then dive into important machine learning topics, including data classification, regression, clustering, association rule mining, and dimension reduction.
Practical Machine Learning with R Data Exploration with RMS Titanic R and Statistics Understanding Regression Analysis Classification (I) Tree, Lazy, and Probabilistic Classification (II) Neural Network and SVM Model Evaluation Ensemble Learning Clustering Association Analysis and Sequence Minin Dimension Reduction Big Data Analysis (R and Hadoop)