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Markov Chains || Step-By-Step || ~xRay Pixy

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Learn Markov Chains step-by-step using real-life examples. Video Chapters: Markov Chains 00:00 Introduction 00:19 Topics Covered 01:49 Markov Chains Applications 02:04 Markov Property 03:18 Example 1 03:54 States, State Space, Transition Probabilities 06:17 Transition Matrix 08:17 Example 02 09:17 Example 03 10:26 Example 04 12:25 Example 05 14:16 Example 06 16:49 Example 07 18:11 Example 08 24:56 Conclusion

GREY WOLF OPTIMIZATION

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GREY WOLF OPTIMIZATION ALGORITHM - GREY WOLF OPTIMIZER Q. What is the Grey Wolf Optimization Algorithm? A. GWO is a metaheuristic proposed by Mirjaliali Mohammad and Lewis, 2014. GWO is inspired by the social hierarchy and the hunting technique of grey wolves. Q. Who is the Grey Wolf? A.  Also known as Grey Wolf / Gray Wolf. [Large Canine and Longer Tail]. Q. Explain the Grey Wolf Hierarchy? A. The first  level of Grey wolf Hierarchy is ALPHA WOLF. Alpha wolf is responsible for Making Decisions about Hunting, Sleeping places, time to wake up, and others. The second level of the Grey wolf Hierarchy is Beta WOLF. The best candidate to be Alpha Wolf. Beta Wolf helps the Alpha wolf in decision making and other activities. Beta wolf gives feedback to Alpha Wolf. The third Level If the wolf is neither Alpha, Beta, nor Omega then it is a Delta Wolf. Delta wolf Dominate Omega Wolf. Delta wolf works for the pack in case of any danger. They provide food to th...
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