Today, Prof. Barrett Thomas blends his rich technical understanding of Deep Reinforcement Learning with his commercial savviness to eloquently detail how Deep RL can be leveraged to minimize costs and maximize profits.
Barrett:
• Is Research Professor in Business Analytics and Senior Associate Dean at the University of Iowa’s College of Business.
• As will soon be unsurprising to you when you hear how well he communicates complex concepts, he’s won multiple teaching awards (amongst other academic prizes).
• He holds a PhD in Industrial and Operations Engineering from the University of Michigan.
Today’s episode is a technical one that will appeal primarily to hands-on practitioners like data scientists, software developers and machine learning engineers.
In this episode, Barrett details:
• What Markov Decision Processes are and how they relate to Deep Reinforcement Learning.
• How operations research leverages neural networks to minimize business costs and maximize business profits.
• How same-day delivery has been made possible by machine learning.
• How aerial drones and autonomous vehicles will revolutionize supply chains and transportation.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.