In this chapter, we defined assessment and then examined the similarities and differences between assessment and statistical assessment. Next, we covered development versus assessment and then explained how data assessment and data quality assurance have some overlap, and go hand in hand, but also have different objectives. Finally, we applied the idea of statistical assessment using the programming tool R.
In the next chapter, we will define the neural network model and draw from a developer's knowledge of data models to help understand the purpose and use of neural networks in data science.
