Hello,

I am Asst. Prof. Ritika Jujgar
M.E (Computer Science & Engineering)
Pune, Maharashtra.

The objective of my channel is to provide quality video lectures on subjects/topics of Computer Science Engineering and Information Technology.
I put lot of efforts while creating videos to make sure that language and contents of these video lectures should be simple, interactive and easy to understand.

If you like my videos Please Like, Share & Subscribe it.

Thank You...!

3.22 Fuzzy Operations | Fuzzy Logic | Artificial Intelligence
33:45
3.22 Fuzzy Operations | Fuzzy Logic | Artificial Intelligence
3.21 Fuzzy Logic Architecture | Degree of Membership | Fuzzy Logic | Artificial Intelligence
30:12
3.21 Fuzzy Logic Architecture | Degree of Membership | Fuzzy Logic | Artificial Intelligence
3.20 Concept of Fuzzy System | Fuzzy Logic | Artificial Intelligence
19:38
3.20 Concept of Fuzzy System | Fuzzy Logic | Artificial Intelligence
3.19 Fuzzy Propositional Logic & Inference Rule | Fuzzy Logic | Artificial Intelligence
20:48
3.19 Fuzzy Propositional Logic & Inference Rule | Fuzzy Logic | Artificial Intelligence
3.18 Introduction to Fuzzy Logic | Fuzzy Logic | Artificial Intelligence
13:35
3.18 Introduction to Fuzzy Logic | Fuzzy Logic | Artificial Intelligence
3.17 Truth Maintenance System in Non Monotonic Reasoning | Reasoning under Uncertainty in AI
10:57
3.17 Truth Maintenance System in Non Monotonic Reasoning | Reasoning under Uncertainty in AI
3.16 Monotonic & Non Monotonic Reasoning | Reasoning under Uncertainty | Artificial Intelligence
21:02
3.16 Monotonic & Non Monotonic Reasoning | Reasoning under Uncertainty | Artificial Intelligence
3.15 Dempster-Shafer Theory (DST) | Reasoning under Uncertainty | Artificial Intelligence
15:24
3.15 Dempster-Shafer Theory (DST) | Reasoning under Uncertainty | Artificial Intelligence
3.14 Bayesian Network Example in AI | Reasoning under Uncertainty | Artificial Intelligence
19:40
3.14 Bayesian Network Example in AI | Reasoning under Uncertainty | Artificial Intelligence
3.13 Bayesian Belief Network in AI | Reasoning under Uncertainty | Artificial Intelligence
18:27
3.13 Bayesian Belief Network in AI | Reasoning under Uncertainty | Artificial Intelligence
3.12 Conditional Probability & Bayes’ Theorem | Reasoning under Uncertainty| Artificial Intelligence
17:04
3.12 Conditional Probability & Bayes’ Theorem | Reasoning under Uncertainty| Artificial Intelligence
3.11 Reasoning under Uncertainty | Probabilistic Reasoning | Artificial Intelligence
15:02
3.11 Reasoning under Uncertainty | Probabilistic Reasoning | Artificial Intelligence
3.10 Reasoning in AI | Forward Reasoning & Backward Reasoning | Artificial Intelligence
12:53
3.10 Reasoning in AI | Forward Reasoning & Backward Reasoning | Artificial Intelligence
3.9 Types of Rule based System | Forward Chaining & Backward Chaining | Artificial Intelligence
29:22
3.9 Types of Rule based System | Forward Chaining & Backward Chaining | Artificial Intelligence
3.8 Rule based System in Artificial Intelligence | Artificial Intelligence
15:33
3.8 Rule based System in Artificial Intelligence | Artificial Intelligence
AI Practical No 5 | Implementation of Tic-Tac-Toe Game in Python
27:30
AI Practical No 5 | Implementation of Tic-Tac-Toe Game in Python
AI Practical No 4 | Implement Tokenization, Word Frequency, Stop Words POS Tagging | NLP Tool(NLTK)
34:14
AI Practical No 4 | Implement Tokenization, Word Frequency, Stop Words POS Tagging | NLP Tool(NLTK)
AI Practical No 2 | N-Queens Problem using Simulated Annealing Algorithm & Towers of Hanoi in Python
45:24
AI Practical No 2 | N-Queens Problem using Simulated Annealing Algorithm & Towers of Hanoi in Python
AI Practical No 1 | Implement Travelling Salesman Problem using Hill Climbing Algorithm in Python
39:39
AI Practical No 1 | Implement Travelling Salesman Problem using Hill Climbing Algorithm in Python
3.7 Rule of Inference & Types of Rule of Inference | Artificial Intelligence
2:58
3.7 Rule of Inference & Types of Rule of Inference | Artificial Intelligence
3.6 Quantifiers (Universal & Existential) in Predicate Logic or First Order Logic(FOL) AI
21:09
3.6 Quantifiers (Universal & Existential) in Predicate Logic or First Order Logic(FOL) AI
3.5 Predicate Logic or First Order Logic(FOL) in Artificial Intelligence | Well-Formed Formula (WFF)
11:53
3.5 Predicate Logic or First Order Logic(FOL) in Artificial Intelligence | Well-Formed Formula (WFF)
3.4 Proposition Logic in Artificial Intelligence | Well-Formed Formula (WFF) | AI
22:01
3.4 Proposition Logic in Artificial Intelligence | Well-Formed Formula (WFF) | AI
3.3 Knowledge based Agents(KBA) | Artificial Intelligence
18:57
3.3 Knowledge based Agents(KBA) | Artificial Intelligence
3.2 Techniques of Knowledge Representation | Artificial Intelligence
24:53
3.2 Techniques of Knowledge Representation | Artificial Intelligence
3.1 Introduction to Knowledge Representation | Artificial Intelligence
18:29
3.1 Introduction to Knowledge Representation | Artificial Intelligence
1.4 Software Engineering Practices | Software Engineering
34:35
1.4 Software Engineering Practices | Software Engineering
1.3 Nature of Software Engineering | Software Engineering
11:43
1.3 Nature of Software Engineering | Software Engineering
1.2 Importance of SE | Software Evolution | Software Development Paradigms | Software Engineering
14:41
1.2 Importance of SE | Software Evolution | Software Development Paradigms | Software Engineering
1.1 Software Engineering Fundamentals | Software Engineering
14:09
1.1 Software Engineering Fundamentals | Software Engineering