Machine learning is getting better and better, as you've sure seen. It's very easy to make something that takes the imputs you are seen to those outputs. But when you give it smein you've never seen before, does a really good job of actually correctly guessing what the output label is going to be. That's the whole trick. And i was talking with somebody else earlier, and they were talking about the, what gogles deep what do they call ther thing? Deep mine. The simplest thng would be just ad more data from undersampled people so that the machine will learn properly. One thing that you quickly learn about machine learning: if you read the
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!
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