Machine Learning
저자: And S

1. Sigmoid hypothesis
2. Tasks
2.1. Supervised
2.1.1. Classification
2.1.1.1. Regularized Logistic Regression
2.1.1.1.1. Cost function
2.1.1.1.2. Gradient
2.1.1.1.3. Regularization
2.1.1.2. Logistic Regression
2.1.1.3. Gradient Descent)
2.1.1.3.1. Гипотеза h(theta)
2.1.1.3.2. Theta
2.1.1.3.3. Regularization
2.1.1.3.4. функция потери J(theta)