Machine learning is a collection of programming techniques for discovering relationships in data. With ML algorithms, you can cluster and classify data for tasks like making recommendations or fraud detection and make predictions for sales trends, risk analysis, and other forecasts. Once the domain of academic data scientists, machine learning has become a mainstream business process, and tools like the easy-to-learn R programming language put high-quality data analysis in the hands of any programmer. Machine Learning with R, tidyverse, and mlr teaches you widely used ML techniques and how to apply them to your own datasets using the R programming language and its powerful ecosystem of tools. This book will get you started!
A great combination of statistics and code.
walk()to produce a function’s side effects
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A well-structured and comprehensive introduction to machine learning using the language R including tidyverse amd mlr.
This book makes easy to get a great insight of machine learning techniques.
Fantastic introduction to the subject of machine learning. The consequences of various choices are fully discussed with code examples.