1 intro
2 Introduction: What to Expect from AI
3 Introduction: History of AI from 40s - 90s
4 Introduction: History of AI in the 90s
5 Introduction: History of AI in NASA & DARPA(2000s)
6 Introduction: The Present State of AI
7 Introduction: Definition of AI Dictionary Meaning
8 Introduction: Definition of AI Thinking VS Acting and Humanly VS Rationally
9 Introduction: Definition of AI Rational Agent View of AI
10 Introduction: Examples Tasks, Phases of AI & Course Plan
11 Uniform Search: Notion of a State
12 Uniformed Search: Search Problem and Examples Part-2
13 Uniformed Search: Basic Search Strategies Part-3
14 Uniformed Search: Iterative Deepening DFS Part-4
15 Uniformed Search: Bidirectional Search Part-5
16 Informed Search: Best First Search Part-1
17 Informed Search: Greedy Best First Search and A* Search Part-2
18 Informed Search: Analysis of A* Algorithm Part-3
19 Informed Search Proof of optimality of A* Part-4
20 Informed Search: Iterative Deepening A* and Depth First Branch & Bound Part-5
21 Informed Search: Admissible Heuristics and Domain Relaxation Part-6
22 Informed Search: Pattern Database Heuristics Part-7
23 Local Search: Satisfaction Vs Optimization Part-1
24 Local Search: The Example of N-Queens Part-2
25 Local Search: Hill Climbing Part-3
26 Local Search: Drawbacks of Hill Climbing Part-4
27 Local Search: of Hill Climbing With random Walk & Random Restart Part-5
28 Local Search: Hill Climbing With Simulated Anealing Part-6
29 Local Search: Local Beam Search and Genetic Algorithms Part-7
30 Adversarial Search : Minimax Algorithm for two player games
31 Adversarial Search : An Example of Minimax Search
32 Adversarial Search : Alpha Beta Pruning
33 Adversarial Search : Analysis of Alpha Beta Pruning
34 Adversarial Search : Analysis of Alpha Beta Pruning (contd...)
35 Adversarial Search : Horizon Effect, Game Databases & Other Ideas
36 Adversarial Search: Summary and Other Games
37 Constraint Satisfaction Problems: Representation of the atomic state
38 Constraint Satisfaction Problems: Map coloring and other examples of CSP
39 Constraint Satisfaction Problems: Backtracking Search
40 Constraint Satisfaction Problems: Variable and Value Ordering in Backtracking Search
41 Constraint Satisfaction Problems: Inference for detecting failures early
42 Constraint Satisfaction Problems: Exploiting problem structure
43 Logic in AI : Different Knowledge Representation systems - Part 1
44 Logic in AI : Syntax - Part - 2
45 Logic in AI : Semantics - Part - 3
46 Logic in AI : Forward Chaining - Part 4
47 Logic in AI : Resolution - Part - 5
48 Logic in AI : Reduction to Satisfiability Problems - Part - 6
49 Logic in AI : SAT Solvers : DPLL Algorithm - Part - 7
50 Logic in AI : Sat Solvers: WalkSAT Algorithm - Part - 8
51 Uncertainty in AI: Motivation
52 Uncertainty in AI: Basics of Probability
53 Uncertainty in AI: Conditional Independence & Bayes Rule
54 Bayesian Networks: Syntax
55 Bayesian Networks: Factoriziation
56 Bayesian Networks: Conditional Independences and d-Separation
57 Bayesian Networks: Inference using Variable Elimination
58 Bayesian Networks: Reducing 3-SAT to Bayes Net
59 Bayesian Networks: Rejection Sampling
60 Bayesian Networks: Likelihood Weighting
61 Bayesian Networks: MCMC with Gibbs Sampling
62 Bayesian Networks: Maximum Likelihood Learning"
63 Bayesian Networks: Maximum a-Posteriori LearningÂ
64 Bayesian Networks: Bayesian Learning
65 Bayesian Networks: Structure Learning and Expectation Maximization
66 Introduction, Part 10: Agents and Environments
67 mod10lec66
68 mod10lec67
69 mod10lec68
70 mod10lec69
71 mod10lec68
72 mod10lec70
73 mod10lec71
74 mod10lec72
75 mod10lec73
76 mod10lec74
77 mod10lec75
78 mod11lec76
79 mod11lec77
80 mod11lec78
81 mod11lec79
82 mod11lec80
83 mod11lec81
84 mod11lec82
85 mod11lec83
86 mod12lec84
87 mod12lec85
88 mod12lec86
89 mod12lec87
90 mod12lec88
91 mod12lec89
92 mod12lec90
93 mod12lec91
94 mod12lec92
95 mod12lec93
96 mod12lec94
97 mod12lec95
98 mod12lec96