5min chapter

Flirting with Models cover image

Vivek Viswanathan - Quant Equity in China (S4E10)

Flirting with Models

CHAPTER

Linearage, Grady Boosting and Randam Forest Aren't Blackbocks

The typical arguments against machine learning are, it's a black box. It's going to lead to overfit models when you combine a hundred and forty characteristics. So linearage, grady boosting and randam forest aren't blackbocks. They're just not olus. But we do have our own attribution system, and there's nothing really proprietary about it so i'm happy to explain it.

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