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| P R.E S E N T S . |
| / . |
| R: Unleash Machine Learning Techniques |
| |
| |
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| DATE: 21-03-2020 SIZE: 31.71 MB DISKS: 1x50.00MB PAGES: n/a |
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| PUBLISHER: Packt Publishing Ltd GENRE: |
| |
| AUTHOR: Raghav Bali, Dipanjan Sarkar, Brett Lantz, Cory Lesmeister |
| |
| FORMAT: EPUB PROTECTION: DRM EDITION: n/a |
| |
| URL: https://is.gd/a0x6qV |
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| LANGUAGE: English ISBN: 9781787128286 |
: :
: Find out how to build smarter machine learning systems with R. Follow this :
: three module course to become a more fluent machine learning practitioner. :
: About This Book Build your confidence with R and find out how to solve a :
: huge range of data-related problems Get to grips with some of the most :
: important machine learning techniques being used by data scientists and :
: analysts across industries today Don't just learn - apply your knowledge b :
: following featured practical projects covering everything from financial :
: modeling to social media analysis Who This Book Is For Aimed for :
: intermediate-to-advanced people (especially data scientist) who are alread :
: into the field of data science What You Will Learn Get to grips with R :
: techniques to clean and prepare your data for analysis, and visualize your :
: results Implement R machine learning algorithms from scratch and be amazed :
: to see the algorithms in action Solve interesting real-world problems usin :
: machine learning and R as the journey unfolds Write reusable code and buil :
: complete machine learning systems from the ground up Learn specialized :
: machine learning techniques for text mining, social network data, big data :
: and more Discover the different types of machine learning models and learn :
: which is best to meet your data needs and solve your analysis problems :
: Evaluate and improve the performance of machine learning models Learn :
: specialized machine learning techniques for text mining, social network :
: data, big data, and more In Detail R is the established language of data :
: analysts and statisticians around the world. And you shouldn't be afraid t :
: 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 project :
: 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 products: R Machine Learning By Example By Raghav Bali, :
: Dipanjan Sarkar Machine Learning with R Learning - Second Edition By Brett :
: Lantz Mastering Machine Learning with R By Cory Lesmeister Style and :
: approach This is an enticing learning path that starts from the very basic :
: to gradually pick up pace as the story unfolds. Each concept is first :
: defined in the larger context of things succinctly, followed by a detailed :
: explanation of their application. Each topic is explained with the help of :
: a project that solves a real-world problem involving hands-on work thus :
: giving you a deep insight into the world of machine learning. :
. :
.:
`:
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