Machine Learning at Google scale

First of all, more labeled data sets to learn from. Training a machine learning program can lead to better results if you improve the algorithms being used, but often just throwing more data at it will help it improve its accuracy greatly. In the internet and big data age, an enormous amount of data is being collected every day, from the tweets you send, to the pictures you publish, or the articles you're shopping online. Your own picture tagging helps figure out that a cat is indeed present in a picture, or what a given customer might buy next, considering it bought X and Y before, mimicking the behavior of other shoppers online. Big quality data sets, with labels and outcomes, help improving the learning ability of your neural networks.