Curriculum
- 4 Sections
- 37 Lessons
- 48 Weeks
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- DescriptionArtificial Intelligence Series
In this course you will get
1) 29 videos + Upcoming videos which will be free
2) handmade Notes Based on the Videos
3) Strategy to Score Good marks in Artificial Intelligence Paper0 - Index28
- 2.1Agent and Peas Description8 Minutes
- 2.2Types of Agent9 Minutes
- 2.3Learning Agent9 Minutes
- 2.4BFS Algorithm with solved Example6 Minutes
- 2.5DFS ( Depth First Search ) Algorithm with solved Example3 Minutes
- 2.6IDFS ( Iterative Depth First Search ) Algorithm with solved Example3 Minutes
- 2.7GBFS Solved Example8 Minutes
- 2.8A star Solved Example14 Minutes
- 2.9Hill Climbing4 Minutes
- 2.10Hill Climbing algorithm6 Minutes
- 2.11Genetic Algorithm6 Minutes
- 2.12Genetic Algorithm Max one Problem Solved Example9 Minutes
- 2.13Min Max Solved Example7 Minutes
- 2.14Alpha-Beta Pruning Solved Example14 Minutes
- 2.15Propositional Logic (PL) Introduction8 Minutes
- 2.16PL to CNF Conversion With Solved Example10 Minutes
- 2.17First-Order Logic (FOL) Solved Example6 Minutes
- 2.18Resolution Tree Sum Part #19 Minutes
- 2.19Resolution Tree Sum Part #215 Minutes
- 2.20Bayesian Belief Network16 Minutes
- 2.21Bayesian Network toothache and Cavity sum12 Minutes
- 2.22Partial Order Planning with Example11 Minutes
- 2.23Supervised and Unsupervised Learning (AI and SC)7 Minutes
- 2.24Parsing in NLP6 Minutes
- 2.25Phases in NLP8 Minutes
- 2.26Expert System10 Minutes
- 2.27Natural Language Processing10 Minutes
- 2.28Importance + Strategy to Score Good marks in Artificial intelligence paper17 Minutes
- New VideosUpcoming videos coming before Exams3
- Notes6
Module 5
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