This book is ideal for people wanting to get up-and-running with the core concepts of machine learning using R 3.5. This book follows a step-by-step approach to implementing an end...
Machine learning is a field of AI where we build systems that learn from data. This book explains complicated concepts with real-world applications. It demonstrates the power of R ...
Applied Supervised Learning with R will make you a pro at identifying your business problem, selecting the best supervised machine learning algorithm to solve it, and fine-tuning y...
Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and all features of R that enable you to understan...
With this book, you will learn to execute a series of intermediate to advanced statistical tasks as you walk through each chapter. You will not only get well versed with the tradit...
이 책은 기존의 수리통계학 II의 R 버전이다. R의 활용을 주제로 하여 새로 보완하고 내용을 추가하였다. R은 오픈소스의 통계소프트웨어이며 언어로서 누구나 무료로 인터넷상에서 다운받아 사용할 수 있으며 최신기법이 거의 빠짐없이 구현되어 있다는 것이 장점이다. 따라서 대부분의 장들에서는 R을 이용하여 수리통계학 입문에서 ...
