Cavin: There's some part of people's brains they just want to go around and like, label everything in the world with good or bad. I don't need to instantly labeleve hias good or bad - i can just see it as it is. And then the second would be, maybe try to understand it from the other side. Usually there are reasonable ideas in there. What can i get out of turning it around and looking? Whyre they sing this? Once you've washed away that, whatever that says that instantly i have to slap a label on it,. Then you can try to see what's valuable. Maybe even though this flower smells bad, it has some
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