Data Science and Product Management
What kind of dynamics between Data Science team and Product management team makes a good product that is based on some kind of AI/ML ?
What kind of dynamics between Data Science team and Product management team makes a good product that is based on some kind of AI/ML ?
Recently I published my experiments on using deep reinforcement learning for portfolio allocation. Few open problem I struggled and still don't have an answer are 1. For the problem specifically like stock market, how one can decide when to stop the training of RL agent ? i.e. What is the metric that can determine agent has been trained ?2. How can one determine the deployed agent is now...