Machine Learning 101

Definitions

Machine Learning

1. Supervised: learn from labeled inputs
   • Regression; Classification
   • eg. Logistic Regression;
2. Unsupervised: learn from unlabeled inputs to discover patterns in the data
   • Clustering
   • eg. k-Means

Gradient descent is an algorithm for finding values of parameters w and b that minimize the cost function J. Repeat the following until convergence

$$w = w - \alpha J'_w (w,b)$$

$$b = b - \alpha J'_b (w,b)$$

alpha: learning rate