Practical Data Science with R, Second Edition

11 Documentation and deployment

This chapter covers

• Producing effective milestone documentation
• Managing project history using source control
• Deploying results and making demonstrations

In this chapter, we’ll survey techniques for documenting and deploying your work. We will work specific scenarios, and point to resources for further study if you want to master the techniques being discussed. The theme is this: now that you can build machine learning models, you should explore tools and procedures to become proficient at saving, sharing, and repeating successes. Our mental model (figure 11.1) for this chapter emphasizes that this chapter is all about sharing what you model. Let’s use table 11.1 to get some more-specific goals in this direction. ...