Creating Career Insurance in the Age of Tech Layoffs (Matt Harrison) - KNN Ep. 136
Ken's Nearest Neighbors
XGBoost - The Most Complete End-to-End Introduction
The impetus for the XGBoost book is, you know, like I said, I do a lot of training, a lot of predictive modeling training. And so my book is kind of diving into that, but also going into some of the other features and NCAA libraries around X GBoost. So sort of an end-to-end start off by talking about like decision trees, how those are the basis or the nucleus of that build an intuition around underfitting and overfitting. It's pretty easy to use. If you need to tune it, you can tune it. But tuning is not too hard.
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