Machine Learning
by 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)