Mastering Machine Learning with scikit-learn, 2/Ed > PACKT 원서리스트

1 The Fundamentals of Machine Learning

2 Simple Linear Regression

3 Classification and Regression with K Nearest Neighbors

4 Feature Extraction and Preprocessing

5 From Simple Regression to Multiple Regression

6 From Linear Regression to Logistic Regression

7 Naive Bayes

8 Nonlinear Classification and Regression with Decision Trees

9 From Decision Trees to Random Forests, and other Ensemble Methods

10 The Perceptron

11 From the Perceptron to Support Vector Machines

12 From the Perceptron to Artificial Neural Networks

13 Clustering with K-Means

A Appendix A: Feedback