이미 소장하고 있다면 판매해 보세요.
|
1.Introduction 2.Thinking About Models 3.The Foundation 4.Understanding the Model 5.Understanding the Features 6.Model Estimation and Optimization 7.Estimating Uncertainty 8.Generalized Linear Models 9.Extending the Linear Model 10.Core Concepts in Machine Learning 11.Comon Models in Machine Learning 12.Extending Machine Learning 13.Causal Modeling 14.Dealing with Data 15.Danger Zone 16.Parting Thoughts |