R is an open source statistical programming language and in recent years, it has been hugely popular. R has significant and vibrant communities worldwide and it is rich with libraries/packages, which get new additions every day. R is a first-class citizen in the Azure ML land, meaning that it has its native support for the language. Among many data structures, R has the data.frame
data structure, which can be assumed to be a data table with rows and columns with column headers. Though there are differences, you can safely think of it as a dataset in ML Studio. So, whenever a dataset is passed to R code in an experiment, it implicitly gets converted to the data.frame
data structure.
Microsoft Azure Machine Learning
By :
Microsoft Azure Machine Learning
By:
Overview of this book
Table of Contents (21 chapters)
Microsoft Azure Machine Learning
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Introduction
ML Studio Inside Out
Data Exploration and Visualization
Getting Data in and out of ML Studio
Data Preparation
Regression Models
Classification Models
Clustering
A Recommender System
Extensibility with R and Python
Publishing a Model as a Web Service
Case Study Exercise I
Case Study Exercise II
Index
Customer Reviews