Contents

DATA100-L13: Gradient Descent, Feature Engineering

/datal13/image.png $\downarrow{shuffle}$ SGD: Stochastic Gradient Descent(but size == 1)

convexity (凹凸性)

/datal13/image-1.png

feature engineering

在于怎么使用transforming

feature function

/datal13/image-2.png see website code

non-numeric features

one-hot encoding /datal13/image-3.png

concat

/datal13/image-4.png

high order polynomials

/datal13/image-5.png

detect overfitting

  • collect more data
  • more see next lecture