This is post 1 of a 4-part series focusing how data science can incorporate biometrics for sporting good manufacturers and professional sports teams.
This is post #2 of a 2-part series focused on reinforcement learning, an AI deployment approach that is growing in popularity.
In this post I will provide a gentle introduction to reinforcement learning by way of its application to a classic problem: the multi-armed bandit problem.
We examine how to apply machine learning to segment based
on transaction data and transform those clusters into customer segments.
Utilizing AI techniques like NLP is a great way to reduce the time it takes to find optimal candidates for job openings.