Machine Learning with R Quick Start Guide

Machine Learning with R Quick Start Guide

A beginner's guide to implementing machine learning techniques from scratch using R 3.5


This eBook includes

Formats : PDF, EPUB, MOBI (Downlodable)

Pages : 250

ISBN : 9781838647056

Language : English

About the Book

Book description

Learn how to use R to apply powerful machine learning methods and gain insight into real-world applications using clustering, logistic regressions, random forests, support vector machine, and more.

Key Features

  • Use R 3.5 to implement real-world examples in machine learning
  • Implement key machine learning algorithms to understand the working mechanism of smart models
  • Create end-to-end machine learning pipelines using modern libraries from the R ecosystem

Book Description

Machine Learning with R Quick Start Guide takes you on a data-driven journey that starts with the very basics of R and machine learning. It gradually builds upon core concepts so you can handle the varied complexities of data and understand each stage of the machine learning pipeline.

From data collection to implementing Natural Language Processing (NLP), this book covers it all. You will implement key machine learning algorithms to understand how they are used to build smart models. You will cover tasks such as clustering, logistic regressions, random forests, support vector machines, and more. Furthermore, you will also look at more advanced aspects such as training neural networks and topic modeling.

By the end of the book, you will be able to apply the concepts of machine learning, deal with data-related problems, and solve them using the powerful yet simple language that is R.

What you will learn

  • Introduce yourself to the basics of machine learning with R 3.5
  • Get to grips with R techniques for cleaning and preparing your data for analysis and visualize your results
  • Learn to build predictive models with the help of various machine learning techniques
  • Use R to visualize data spread across multiple dimensions and extract useful features
  • Use interactive data analysis with R to get insights into data
  • Implement supervised and unsupervised learning, and NLP using R libraries

Who this book is for

This book is for graduate students, aspiring data scientists, and data analysts who wish to enter the field of machine learning and are looking to implement machine learning techniques and methodologies from scratch using R 3.5. A working knowledge of the R programming language is expected.

Machine Learning with R Quick Start Guide

eBook Preview

Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

Our students work
with the Best

Related eBooks

View More

Annual Membership

Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses

Subscribe now
People having fun around a laptop

Online Certifications

Master prominent technologies at full length and become a valued certified professional.

Explore Now
People having fun around a laptop

Talk to us