Mastering Machine Learning with R

Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applications

Key Features

• Build independent machine learning (ML) systems leveraging the best features of R 3.5
• Understand and apply different machine learning techniques using real-world examples
• Use methods such as multi-class classification, regression, and clustering

Book Description

What you will learn

• Prepare data for machine learning methods with ease
• Understand how to write production-ready code and package it for use
• Produce simple and effective data visualizations for improved insights
• Master advanced methods, such as Boosted Trees and deep neural networks
• Use natural language processing to extract insights in relation to text
• Implement tree-based classifiers, including Random Forest and Boosted Tree

Who this book is for

This book is for data science professionals, machine learning engineers, or anyone who is looking for the ideal guide to help them implement advanced machine learning algorithms. The book will help you take your skills to the next level and advance further in this field. Working knowledge of machine learning with R is mandatory.