Machine Learning with R

Steps to apply machine learning to your data

Any machine learning task can be broken down into a series of more manageable steps. This book has been organized according to the following process:

1. Collecting data: Whether the data is written on paper, recorded in text files and spreadsheets, or stored in an SQL database, you will need to gather it in an electronic format suitable for analysis. This data will serve as the learning material an algorithm uses to generate actionable knowledge.
2. Exploring and preparing the data: The quality of any machine learning project is based largely on the quality of data it uses. This step in the machine learning process tends to require a great deal of human intervention. An often cited statistic suggests that 80 ...