Machine learning is increasingly central to quant strategies. Alpha signals, risk models, and execution algorithms all use ML. You don't need PhD-level knowledge, but you need solid fundamentals.
In this section, I'll cover the ML concepts that come up in quant interviews: regression, classification, overfitting, feature engineering, and time series modeling.
