Practical Machine Learning In R 2021 Update Kyriakos Chatzidimitriou by Kyriakos Chatzidimitriou, Themistoklis Diamantopoulos, Thomas Karanikiotis, Michail Papamichail And Andreas Symeonidis instant download after payment.

Do you want to start using R for crunching machine learning models right from the start with examples? Then this book is for you.

R is an open source programming language and a free environment, mainly used for statistical computing and graphics. You can find information about R in the official website. By searching with the keyword R with other topic-specific words in sites like Google, one can find additional information from sites, blog posts, tutorials, documents etc. Even through R comes with its own environment: command line and graphical interfaces, one can use the popular RStudio, which offers additional graphical functionalities.

Machine Learning (ML) is a subset of Artificial Intelligence (AI) in the field of computer science that often uses statistical techniques to give computers the ability to “learn” (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

Machine Learning is often closelly related, if not used as an alternate term, to fields like Data Mining (the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems), Pattern Recognition, Statistical Inference or Statistical Learning. All these areas often employ the same methods and perhaps the name changes based on the practitioner’s expertise or the application domain.