Cavin: Machine learning is a very interesting idea, high o level. But then computers are incredibly stupid. That's why programming is hard. And turning anything you want to do into that is a really difficult task. So i think ultimately, if you gave enough examples of the machine could try to learn what you told it. We would be able to build a function that says, this price history is, but it would be just based on the examples you gave it. It wou'd really be learning the theory that was in your head that caused you to come up with that price history.
Kevin is a Computer Scientist, part-time lecturer at Paul G. Allen School of Computer Science & Engineering, and research partner at OSAM. Our discussion with Kevin revolves around:
- What is Machine Learning (ML)?
- Biases in ML algorithms
- Application of ML in medicine, markets, and sports
- Parallels in Fantasy Sports and Investing
- And MUCH more!
Follow Kevin on his Twitter at https://twitter.com/kczat and read OSAM's research articles at: https://osam.com/Commentary