R Machine Learning Essentials - Couverture souple

Usuelli, Michele

Couverture souple

ISBN 10 : 178398774X ISBN 13 : 9781783987740

Editeur : Packt Publishing, 2014

Synopsis

Gain quick access to the machine learning concepts and practical applications using the R development environment

About This Book

• Build machine learning algorithms using the most powerful tools in R
• Identify business problems and solve them by developing effective solutions
• Hands-on tutorial explaining the concepts through lots of practical examples, tips and tricks

Who This Book Is For

If you want to learn how to develop effective machine learning solutions to your business problems in R, this book is for you. It would be helpful to have a bit of familiarity with basic object-oriented programming concepts, but no prior experience is required.

What You Will Learn

• Introduce yourself to the basics of machine learning and R
• Develop an interactive data analysis with R to get insights into the data
• Explore business problems and identify key features that are highly relevant to the solution
• Build machine learning algorithms using the most powerful tools in R
• Apply different machine learning techniques for different kinds of business problems
• Validate the results of the techniques and identify the best solution to a problem
• Identify business problems and solve them by developing effective solutions

In Detail

R Machine Learning Essentials provides you with an introduction to machine learning with R. Machine learning finds its applications in speech recognition, search-based operations, and artificial intelligence, among other things. You will start off by getting an introduction to what machine learning is, along with some examples to demonstrate the importance in understanding the basic ideas of machine learning. This book will then introduce you to R and you will see that it is an influential programming language that aids effective machine learning. You will learn the three steps to build an effective machine learning solution, which are exploring the data, building the solution, and validating the results. The book will demonstrate each step, highlighting their purpose and explaining techniques related to them.

By the end of this book, you will be able to use the machine learning techniques effectively, identify business problems, and solve them by applying appropriate solutions.

A propos du livre

About This Book

• Build machine learning algorithms using the most powerful tools in R
• Identify business problems and solve them by developing effective solutions
• Hands-on tutorial explaining the concepts through lots of practical examples, tips and tricks

Who This Book Is For

If you want to learn how to develop effective machine learning solutions to your business problems in R, this book is for you. It would be helpful to have a bit of familiarity with basic object-oriented programming concepts, but no prior experience is required.

What You Will Learn

• Introduce yourself to the basics of machine learning and R
• Develop an interactive data analysis with R to get insights into the data
• Explore business problems and identify key features that are highly relevant to the solution
• Build machine learning algorithms using the most powerful tools in R
• Apply different machine learning techniques for different kinds of business problems
• Validate the results of the techniques and identify the best solution to a problem
• Identify business problems and solve them by developing effective solutions

In Detail

R Machine Learning Essentials provides you with an introduction to machine learning with R. Machine learning finds its applications in speech recognition, search-based operations, and artificial intelligence, among other things. You will start off by getting an introduction to what machine learning is, along with some examples to demonstrate the importance in understanding the basic ideas of machine learning. This book will then introduce you to R and you will see that it is an influential programming language that aids effective machine learning. You will learn the three steps to build an effective machine learning solution, which are exploring the data, building the solution, and validating the results. The book will demonstrate each step, highlighting their purpose and explaining techniques related to them.

By the end of this book, you will be able to use the machine learning techniques effectively, identify business problems, and solve them by applying appropriate solutions.

Biographie de l'auteur

Michele Usuelli

Michele Usuelli is a data scientist living in London. He has a background of and is passionate about statistics and computer science, and as part of his work, he has explored different software and tools for data analysis and machine learning, focusing on R. Always wanting to share what he learned from his projects, Michele has written some articles on R-bloggers. R connected to Hadoop and some applications of R tools are the topics covered here. Michele is passionate about cutting-edge technologies and fast-paced growing environments. Since the very beginning, his work took place in start-up environments. He started his career in one of the most innovative big data start-ups in Milan and worked for a top publishing company in the pricing and analytics division. Currently, he works for a leading R-based company.

Détails de l'édition

• Éditeur: Packt Publishing
• Date d'édition: 2014
• Langue: anglais
• ISBN 10: 178398774X
• ISBN 13: 9781783987740
• Reliure: Broché
• Nombre de pages: 218
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible