文件名称：MIT人工智能课程6.034课件
文件大小：30.94MB
文件格式：ZIP
更新时间：2021-05-23 06:32:28
mit 人工智能 6.034
1 Introduction and scope 2 Reasoning: goal trees and problem solving 3 Reasoning: goal trees and rule-based expert systems 4 Search: depth-first, hill climbing, beam 5 Search: optimal, branch and bound, A* 6 Search: games, minimax, and alpha-beta 7 Constraints: interpreting line drawings 8 Constraints: search, domain reduction 9 Constraints: visual object recognition 10 Introduction to learning, nearest neighbors 11 Learning: identification trees, disorder 12 Learning: neural nets, back propagation 13 Learning: genetic algorithms 14 Learning: sparse spaces, phonology 15 Learning: near misses, felicity conditions 16 Learning: support vector machines 17 Learning: boosting 18 Representations: classes, trajectories, transitions 19 Architectures: GPS, SOAR, Subsumption, Society of Mind 20 The AI business 21 Probabilistic inference I 22 Probabilistic inference II 23 Model merging, cross-modal coupling, course summary PROBLEM SETS TOPICS CODE FILES Problem Set 0 (PDF) Python programming, symbolic algebra Code for Problem Set 0 (ZIP) (This ZIP file contains: 5 .py files.) Problem Set 1 (PDF) Forward chaining, backward chaining and goal trees Code for Problem Set 1 (ZIP) (This ZIP file contains: 7 .py files.) Problem Set 2 (PDF) Search, using heuristics, optimal search, graph heuristics Code for Problem Set 2 (ZIP) (This ZIP file contains: 5 .py files.) Problem Set 3 (PDF) Game search Code for Problem Set 3 (ZIP) (This ZIP file contains: 7 .py files.) Problem Set 4 (PDF) Constraint satisfaction problems, k-nearest neighbors, decision trees Code for Problem Set 4 (ZIP) (This ZIP file contains: 12 .py files, 6 .ord files, 4 .csv files and 2 .dat files. sudoku_csp.py is courtesy of Justin Cullen, and is used with permission.) Problem Set 5 (PDF) Neural nets, boosting Code for Problem Set 5 (ZIP - 1.2MB) (This ZIP file contains: 12 .py files, 2 .dat files, 5 .csv files, 6 .ord files, 1 .out file, and 9 .tab files.)