finelybook
R Machine Learning Essentials
by 作者: Michele Usuelli
ISBN-10 书号: 178398774X
ISBN-13 书号: 9781783987740
Publisher Finelybook 出版日期: 2014-11-25
Pages: 218
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 learn
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