May 2016
Intermediate to advanced
256 pages
5h 53m
English
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Chapter 10. K-nearest neighbors
In this chapter
- You learn to build a classification system using the k-nearest neighbors algorithm.
- You learn about feature extraction.
- You learn about regression: predicting a number, like the value of a stock tomorrow, or how much a user will enjoy a movie.
- You learn about the use cases and limitations of k-nearest neighbors.
Classifying oranges vs. grapefruit
Look at this fruit. Is it an orange or a grapefruit? Well, I know that grapefruits are generally bigger and redder.
My thought process is something like ...