- 3, linear regression
- 4, k-means clustering
- 6, k-nearest neighbors classifier
- 7, gradient descent
- 9, perceptron learning algorithm
- 10, logistic regression
- 11, feature engineering
- 13, softmax regression
- 14, multi-layer-perceptron and backpropagation
- 15, overfitting
- 16, convexity
- 20, support vector machine soft margin
- 21, support vector machine kernel
- 30, probability
- 32, naive bayes classifier
- 34, decision tree
source: machinelearningcoban.com