Machine Learning 13: Non-Linear Feature Transforms
932 بار بازدید -
2 سال پیش
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We discuss shortcomings of linear
We discuss shortcomings of linear models for data that is far from linearly separable. We then show how to use non-linear feature transforms to create decision boundaries corresponding to balls, polynomials etc. Finally, we discuss pitfalls when using non-linear transforms based on learning theoretic arguments.
2 سال پیش
در تاریخ 1401/06/17 منتشر شده
است.
932
بـار بازدید شده