Summary

In this chapter, we have explored how data and algorithms come together to aid machine learning. Making sense of huge amounts of data is made possible by first pruning our data through normalization processes. Feeding this data to specialized algorithms, we are able to predict the categories and sets that our data will fall into.

Lastly, charting and plotting the condensed data helps to better understand and make insightful discoveries.