In this chapter, we're going to explore the vast and awesome world of computer vision.
If you've ever wanted to construct a predictive machine learning model using image data, this chapter will serve as an easily-digestible and practical resource. We'll go step by step through building an image-classification model, cross-validating it, and then building it in a better way. At the end of this chapter, we'll have a darn good model and discuss some paths for future enhancement.
Of course, some background in the fundamentals of predictive modeling will help this to go smoothly. As you'll soon see, the process of converting images into usable features for our model might might feel new, but once our features are extracted, the model-building and cross-validation processes are exactly the same.
In this chapter...
