Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications /
Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating...
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham, UK :
Packt Publishing,
2013.
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| Series: | Community experience distilled.
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| Subjects: | |
| Online Access: |
Full text (Emmanuel users only) |
| Summary: | Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks. Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or. |
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| Physical Description: | 1 online resource (vii, 375 pages) : illustrations |
| ISBN: | 9781782162155 1782162151 9781461949657 1461949653 1306070333 9781306070331 9781680153583 1680153587 |
| Source of Description, Etc. Note: | Print version record. |