Last week we introduced artificial intelligence and machine learning from the perspective of supervised learning, or machine learning models built from labeled data. However, the real world often does not provide well-organized, nicely-packaged information. This is where unsupervised learning and reinforcement learning come in. Join Tom, Tony and Julia as they discuss the three main paradigms of machine learning. If you have requests for any topics, reach out to Julia (@FinancePhoton) or Eddie (@ERajcevic11) on Twitter! You can also submit ideas through this form: https://www.tastytrade.com/alp.