Chapter 1: everything

Chapter 2: everything

Chapter 3: everything

Chapter 4: everything, except for

from page 94, Bayesian models for document classification

until page 96, Discussion

from page 121, Linear classification: Logistic regression

until page 128, Instance based learning

from page 129, Finding nearest neighbors efficiently

until page 136, Clustering

from page 138, Further reading

until end of Chapter 4

Chapter 5: everything, except for

from page 146, Predicting performance

until page 149, Cross-validation

from page 156, Two observations are worth making on this procedure

until page 161, Counting the cost

from page 173, Cost curves

until end of Chapter 5

Chapter 6: everything until page 195