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R: Unleash Machine Learning Techniques: Smarter data analytics
Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner.
Key
Book R is the established language of data analysts and statisticians around the world. And you shouldn't be afraid to use it...
This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R.
In the first module you'll get to grips with the fundamentals of R. This means you'll be taking a look at some of the details of how the language works, before seeing how to put your knowledge into practice to build some simple machine learning projects that could prove useful for a range of real world problems.
For the following two modules we'll begin to investigate machine learning algorithms in more detail. To build upon the basics, you'll get to work on three different projects that will test your skills. Covering some of the most important algorithms and featuring some of the most popular R packages, they're all focused on solving real problems in different areas, ranging from finance to social media.
This Learning Path has been curated from three Packt • R Machine Learning By Example By Raghav Bali, Dipanjan Sarkar • Machine Learning with R - Second Edition By Brett Lantz • Mastering Machine Learning with R By Cory Lesmeister
What You Will
Who this book is Aimed for intermediate-to-advanced people (especially data scientist) who are already into the field of data science
Key
Book R is the established language of data analysts and statisticians around the world. And you shouldn't be afraid to use it...
This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R.
In the first module you'll get to grips with the fundamentals of R. This means you'll be taking a look at some of the details of how the language works, before seeing how to put your knowledge into practice to build some simple machine learning projects that could prove useful for a range of real world problems.
For the following two modules we'll begin to investigate machine learning algorithms in more detail. To build upon the basics, you'll get to work on three different projects that will test your skills. Covering some of the most important algorithms and featuring some of the most popular R packages, they're all focused on solving real problems in different areas, ranging from finance to social media.
This Learning Path has been curated from three Packt • R Machine Learning By Example By Raghav Bali, Dipanjan Sarkar • Machine Learning with R - Second Edition By Brett Lantz • Mastering Machine Learning with R By Cory Lesmeister
What You Will
Who this book is Aimed for intermediate-to-advanced people (especially data scientist) who are already into the field of data science
1140 pages, Paperback
Published October 24, 2016
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