피터 노빅 (2021) AIMA 인공지능

스튜어트 러셀 피터 노빅 (2021) 인공지능

https://aima.cs.berkeley.edu/

책소개

Englith TOC

https://aima.cs.berkeley.edu/

II Problem-solving

• 3 Solving Problems by Searching … 63
• 4 Search in Complex Environments … 110
• 5 Adversarial Search and Games … 146
• 6 Constraint Satisfaction Problems … 180

IV Uncertain knowledge and reasoning

12 Quantifying Uncertainty … 385 13 Probabilistic Reasoning … 412 14 Probabilistic Reasoning over Time … 461 15 Probabilistic Programming … 500 16 Making Simple Decisions … 528 17 Making Complex Decisions … 562 18 Multiagent Decision Making … 599

V Machine Learning

19 Learning from Examples … 651 20 Learning Probabilistic Models … 721 21 Deep Learning … 750 22 Reinforcement Learning … 789

VI Communicating, perceiving, and acting

23 Natural Language Processing … 823

24 Deep Learning for Natural Language Processing … 856

25 Computer Vision … 881

26 Robotics … 925

VII Conclusions

27 Philosophy, Ethics, and Safety of AI … 981 28 The Future of AI … 1012

Related-Notes

References