Imagine that you are responsible for placing targeted product advertisements on an e-commerce store that you help run. The goal is to analyze a visitor's past shopping trends and select products to display that will increase the shopper's likelihood to make a purchase. Given then the gift of foresight, you've been collecting 50 different metrics on all of your shoppers for months: you've been recording past purchases, the product categories of those purchases, the price tag on each purchase, the time on site each user spent before making a purchase, and so on.
Believing that ML is a silver bullet, believing that more data is better, and believing that more training of your model is better, you load all 50 dimensions ...
