Hi ,
Decision-making is an essential part of everyday life and one of the main applications of data science is making the decision-making process easier.
However, mostly when data
scientists build models, it’s to make a single decision. But in real life, decision-making is rarely that simple.
In the latest episode of Value Driven Data Science, I'm joined by Prof Warren Powell, Chief Innovation Officer at Optimal Dynamics, to discuss one way in which the decision-making process can become more complicated, in the form of sequential decision
problems.
Some of the things we discuss in this episode include:
- What is a sequential decision problem?
- Real-life examples of sequential decision problems and the disciplines in which they occur.
- The four main classes of techniques for solving sequential decision
problems.
- How Warren's approach to addressing sequential decision problems differs from the standard approach in this space.
- The challenges of implementing sequential decision analysis techniques in practice.
You can listen to this episode by clicking the button below, or find it on Apple Podcasts,
Amazon Music, Spotify or Google Podcasts.
