This chapter discusses the performance of penalized linear models. It develops an extended family of methods for controlling the overfitting inherent in ordinary least squares. The chapter also ...
This chapter discusses building predictive models using penalized linear methods. It demonstrates the use of penalized regression along with a number of general tools for predictive modeling. The ...
machine-learning-lab/ ├── linear_regression/ # 线性回归 │ └── gradient_descent.py # 梯度下降法实现 ├── perceptron/ # 感知机 ...
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