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Overview 4
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What is AI?Lecture1.1
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Types of AILecture1.2
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Applications of Artificial IntelligenceLecture1.3
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Advantages and Disadvantages of ArtificialLecture1.4
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AI - Intelligent Systems 3
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Types of IntelligenceLecture2.1
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Components of Artificial IntelligenceLecture2.2
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Difference between Human and Machine IntelligenceLecture2.3
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Popular Algorithms in Artificial Intelligence 6
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Single Agent Pathfinding ProblemsLecture3.1
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Search Algorithms TerminologyLecture3.2
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Uninformed Search AlgorithmsLecture3.3
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Hill Climbing Algorithm in Artificial IntelligenceLecture3.4
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Informed Search AlgorithmsLecture3.5
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Means-Ends Analysis in Artificial IntelligenceLecture3.6
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Knowledge Represent 3
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What are Agents and Environment?Lecture4.1
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What is knowledge representation?Lecture4.2
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Techniques of knowledge representationLecture4.3
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Artificial Intelligence - Fuzzy Logic Systems 5
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Introduction to Fuzzy Logic in AILecture5.1
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Why Fuzzy Logic?Lecture5.2
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Fuzzy Logic Systems ArchitectureLecture5.3
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Membership FunctionLecture5.4
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Fuzzy Logic ApplicationsLecture5.5
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Uncertain Knowledge R 3
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Probabilistic reasoning in Artificial intelligenceLecture6.1
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Bayes’ theoremLecture6.2
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Bayesian Belief NetworkLecture6.3
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Subsets of AI 4
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Subsets of AILecture7.1
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AI Expert SystemsLecture7.2
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Machine LearningLecture7.3
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NLPLecture7.4
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AI Programming Languages 1
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Programming languagesLecture8.1
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AI vs ML vs DL vs DS 1
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Difference between termsLecture9.1
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