A Monte Carlo tree search approach to the game 2048.
The final post in a 3-part series dedicated to playing 2048 with AI. Part 1 (the game itself) available here and part 2 (reinforcement learning) available here.
Predicting how much a user will like specific shows, based on their tastes and the tastes of similar users.
A reinforcement learning approach to the game 2048.
The second post in a 3-part series dedicated to playing 2048 with AI. Part 1 (the game itself) available here, and part 3 (Monte Carlo tree search) available here.
The first post in a series dedicated to teaching a computer to play 2048, covering coding the game itself and data logging.
Part 2 (reinforcement learning) available here, and part 3 (Monte Carlo tree search) available here.
Using restaurant data to target “at-risk” restaurants for a mailing campaign with the goal of encouraging better practices in advance of their next inspection.
