GenAi example from Runway
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GenAi example from Runway
0:11
Introduction to AI: Basic PROLOG
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Introduction to AI: Basic PROLOG
7:18
Introduction to AI: Building chatbot with PROLOG
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Introduction to AI: Building chatbot with PROLOG
12:12
Introduction to AI : Building KB with PROLOG
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Introduction to AI : Building KB with PROLOG
11:35
Boyer Moore part 2: The matching in process
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Boyer Moore part 2: The matching in process
7:30
Boyer Moore Part 1: Building the BMT and GST
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Boyer Moore Part 1: Building the BMT and GST
15:01
Intro to AI: install and run FuzzyTipperFile (java)
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Intro to AI: install and run FuzzyTipperFile (java)
5:52
Module 1: Intro to AI
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Module 1: Intro to AI
11:55
Introduction to Transform and Conquer strategy
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Introduction to Transform and Conquer strategy
7:57
Introduction to AI: Logic proving
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Introduction to AI: Logic proving
6:41
Algorithm analysis, tutorial3 Q3
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Algorithm analysis, tutorial3 Q3
0:31
Uninformed search
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Uninformed search
8:18
knowledge acquisition
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knowledge acquisition
5:59
n-queen game part solution
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n-queen game part solution
2:32
Informed search
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Informed search
13:34
Searching
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Searching
11:22
machine learning2
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machine learning2
12:47
machine learning3
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machine learning3
14:49
machine learning part 1/3
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machine learning part 1/3
8:26
resolving conflicts in knowledge base
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resolving conflicts in knowledge base
11:09
predicate logic
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predicate logic
8:19
First order logic
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First order logic
12:05
High order logic
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High order logic
8:55
propositional logic
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propositional logic
14:09
first order logic part2
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first order logic part2
11:08
uncertainty1 : intro & conflict resolution
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uncertainty1 : intro & conflict resolution
9:26
uncertainty2 : basic probabilities & addition rules
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uncertainty2 : basic probabilities & addition rules
13:14
uncertainty3: multiplication rules
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uncertainty3: multiplication rules
11:48
uncertainty4: bayes theorem
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uncertainty4: bayes theorem
8:07
tutorial probability
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tutorial probability
6:46
Fuzzy Logic part2
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Fuzzy Logic part2
7:05
Inferencing with knowledge base (forward and backward chaining) with decision tree example
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Inferencing with knowledge base (forward and backward chaining) with decision tree example
10:22
Example of Fuzzy Logic calculation
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Example of Fuzzy Logic calculation
10:14
Fuzzy logic
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Fuzzy logic
4:40
Reasoning with knowledge base (deductive, inductive, abductive, logic and analogy)
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Reasoning with knowledge base (deductive, inductive, abductive, logic and analogy)
10:51
conflict resolution
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conflict resolution
10:53
Introduction to AI: Knowledge Representation (semantic net)
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Introduction to AI: Knowledge Representation (semantic net)
5:17
Introduction to AI: Knowledge Representation (Object-Attribute-Value)
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Introduction to AI: Knowledge Representation (Object-Attribute-Value)
6:39
Introduction to AI: Knowledge representation (rules)
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Introduction to AI: Knowledge representation (rules)
4:23
Introduction to AI: Knowledge representation (frames)
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Introduction to AI: Knowledge representation (frames)
9:16