2016년에 나온 제3판 번역서(2009년에 출간된 원서 3판을 번역)는 최신 연구 반영에 한계가 있었으나, 이번 제4판 번역서는 최근 성과(자연어 이해, 로봇공학, 컴퓨터 시각에 심층학습이 끼친 영향, 강화학습을 로봇공학에 적용하는 방법, 기계학습, 인공지능 윤리 등)를 충실하게 반영하였다.
구글의 연구실장이며, 2002년에서 2005년까지 핵심 웹 검색 엔진 개발을 이끌었다. 전에는 NASA Ames Research Center의 계산 과학 분과장으로서 NASA의 인공지능 및 로봇공학 연구와 개발을 감독했다. 서던 캘리포니아 대학교의 교수였으며, 버클리 대학교와 스탠퍼드 대학교의 연구교수단 일원이었다. 그의 다른 책으로는 《Paradigms of AI Programming: Case Studies in Common Lisp》와 《Verbmobil: A Translation System for Face?to?Face Dialog》, 그리고 《Intelligent Help Systems for UNIX》가 있다.
PART V 기계학습CHAPTER 19 견본에서 배우는 학습 319.1 학습의 여러 형태 ······················································································· 419.2 지도학습 ····································································································· 619.3 결정 트리의 학습 ····················································································· 1119.4 모형 선택과 최적화 ················································································· 2119.5 학습 이론 ································································································· 3019.6 선형 회귀와 분류 ····················································································· 3519.7 비매개변수 모형 ······················································································· 4719.8 앙상블 학습 ······························································································ 5919.9 기계학습 시스템 개발 ·············································································· 69 요약 ···································································································· 81 참고문헌 및 역사적 참고사항 ··························································· 82CHAPTER 20 확률 모형의 학습 8920.1 통계적 학습 ······························································································ 9020.2 완전 데이터를 이용한 학습 ····································································· 9320.3 은닉 변수가 있는 학습: EM 알고리즘 ················································· 109 요약 ·································································································· 119 참고문헌 및 역사적 참고사항 ························································· 120CHAPTER 21 심층학습 12521.1 단순 순방향 신경망 ··············································································· 12721.2 심층학습을 위한 계산 그래프 ······························································· 13321.3 합성곱 신경망 ························································································ 13721.4 학습 알고리즘 ························································································ 14421.5 일반화 ····································································································· 14821.6 순환 신경망 ···························································································· 15321.7 비지도학습과 전이학습 ·········································································· 15721.8 응용 ········································································································ 165 요약 ·································································································· 168 참고문헌 및 역사적 참고사항 ························································· 168CHAPTER 22 강화학습 17322.1 보상 기반 학습 ······················································································ 17322.2 수동 강화학습 ························································································ 17622.3 능동 강화학습 ························································································ 18322.4 강화학습의 일반화 ················································································· 19122.5 정책 검색 ······························································································· 19922.6 견습 학습과 역강화학습 ········································································ 20222.7 강화학습의 응용 ····················································································· 206 요약 ·································································································· 209 참고문헌 및 역사적 참고사항 ························································· 211PART VI 의사소통, 지각, 행동CHAPTER 23 자연어 처리 21723.1 언어 모형 ······························································································· 21823.2 문법 ········································································································ 23123.3 파싱 ········································································································ 23323.4 증강 문법 ······························································································· 24023.5 실제 자연어의 복잡한 사항들 ······························································· 24623.6 자연어 처리 과제들 ··············································································· 250 요약 ·································································································· 252 참고문헌 및 역사적 참고사항 ························································· 253CHAPTER 24 자연어 처리를 위한 심층학습 25924.1 단어 내장 ······························································································· 26024.2 NLP를 위한 순환 신경망 ······································································ 26424.3 순차열 대 순차열 모형 ·········································································· 26824.4 트랜스포머 구조 ····················································································· 27424.5 사전훈련과 전이학습 ·············································································· 27724.6 현황 ········································································································ 282 요약 ·································································································· 285 참고문헌 및 역사적 참고사항 ························································· 285CHAPTER 25 컴퓨터 시각 28925.1 소개 ········································································································ 28925.2 이미지 형성 ···························································································· 29125.3 단순 이미지 특징 ··················································································· 29825.4 이미지 분류 ···························································································· 30625.5 물체 검출 ······························································································· 31125.6 3차원 세계 ····························································································· 31425.7 컴퓨터 시각의 용도 ··············································································· 319 요약 ·································································································· 334 참고문헌 및 역사적 참고사항 ························································· 335CHAPTER 26 로봇공학 34126.1 로봇 ······································································································ 34126.2 로봇 하드웨어 ······················································································ 34226.3 로봇공학이 푸는 문제들 ······································································ 34726.4 로봇 지각 ····························································································· 34926.5 계획 수립과 제어 ················································································· 35726.6 불확실한 운동의 계획 ·········································································· 37826.7 로봇공학의 강화학습 ············································································ 38126.8 인간과 로봇 ·························································································· 38426.9 로봇공학의 또 다른 틀 ········································································ 39426.10 응용 영역 ····························································································· 397 요약 ································································································ 400 참고문헌 및 역사적 참고사항 ······················································· 402PART VII 결론CHAPTER 27 인공지능의 철학, 윤리학, 안전 41127.1 인공지능의 한계 ····················································································· 41127.2 기계가 정말로 생각할 수 있을까? ······················································· 41627.3 인공지능의 윤리 ····················································································· 418 요약 ·································································································· 443 참고문헌 및 역사적 참고사항 ························································· 443CHAPTER 28 인공지능의 미래 45128.1 인공지능의 구성요소 ·············································································· 45228.2 인공지능 구조 ························································································ 459APPENDIX A 수학적 배경 465A.1 복잡도 분석과 O( ) 표기법 ··································································· 465A.2 벡터, 행렬, 선형대수 ············································································· 468A.3 확률분포 ································································································· 470 참고문헌 및 역사적 참고사항 ························································· 473APPENDIX B 언어와 알고리즘에 관해 475B.1 BNF를 이용한 언어의 정의 ·································································· 475B.2 알고리즘 서술에 쓰이는 의사코드 ························································ 476B.3 온라인 보조 자료 ··················································································· 478? 참고문헌 ·················································· 479? 찾아보기 ·················································· 537
