Using blockchain technology, it is possible to create contracts that offer a reward in exchange for a trained machine learning model for a particular data set. This would allow users to train machine learning models for a reward in a trustless manner. The smart contract will use the blockchain to automatically validate the solution, so there would be no debate about whether the solution was correct or not. Users who submit the solutions won't have counterparty risk that they won't get paid for their work. Contracts can be created easily by anyone with a dataset, even programmatically by software agents.

This Chrome extension uses FP-Growth to surface recommended products from other users who have upvoted the product you are looking at. This is similar to how Amazon's "Customers Who Bought This Item Also Bought" recommendations work. Learn how to build and implement your own collaborative filtering recommendation engine today.