패턴 인식과 머신 러닝: 패턴 인식 계열의 바이블

The book delves deep into algorithms but also includes practical insights. I wonder what guided the choice to emphasize certain topics over others.

Some sections felt dense, but others broke down complex concepts clearly. I'm curious if readers without a math PhD found it approachable.

The field evolves rapidly, and I wonder how the author chose which emerging concepts to include or focus on for this book.