April 2017
Intermediate to advanced
406 pages
10h 15m
English
In the previous chapter, we described several machine learning algorithms and we introduced different techniques to analyze data to make predictions. For example, we suggested how machines can use data of home selling prices to make predictions on the price for new houses. We described how large companies, such as Netflix, use machine learning techniques in order to suggest to users new movies they may like based on movies they have liked in the past, using a technique that is widely utilized in e-commerce by giants such as Amazon or Walmart. Most of these techniques, however, necessitate labeled data in order to make predictions on new data, and, in order to improve their performance, need humans to describe the data ...