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Practical Data Science with R
book

Practical Data Science with R

by John Mount, Nina Zumel
March 2014
Beginner to intermediate
416 pages
13h 36m
English
Manning Publications
Content preview from Practical Data Science with R

Part 3. Delivering results

In part 2, we covered how to build a model that addresses the problem that you want to solve. The next steps are to implement your solution and communicate your results to other interested parties. In part 3, we conclude with the important steps of deploying work into production, documenting work, and building effective presentations.

Chapter 10 covers the documentation necessary for sharing or transferring your work to others, in particular those who will be deploying your model in an operational environment. This includes effective code commenting practices, as well as proper version management and collaboration with the version control software, git. We also discuss the practice of reproducible research using ...

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Publisher Resources

ISBN: 9781617291562Publisher SupportPublisher WebsiteErrata Page