3章 Regression (回帰) (p.87)

What is regression? (p.87)

Prediction using linear regression (p.88)

Simple linear regression (p.89)

Multiple linear regression (p.93)

Multivariate linear regression (p.93)

TensorFlow Estimators (p.94)

Feature columns (p.94)

Input functions (p.95)

MNIST using TensorFlow Estimator API (p.95)

Predicting house price using linear regression (p.97)

Boston housing price dataset http://lib.stat.cmu.edu/datasets/boston

Classification tasks and decision boundaries (p101)

回帰 (regression) とクラス分類 (classification) の違い

Logistic regression (p.102)

Logistic regression on the MNIST dataset (p.103)

Summary

References