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Nash Equilibrium In Game Theory ~xRay Pixy

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 Video Link  CLICK HERE... Learn Nash Equilibrium In Game Theory Step-By-Step Using Examples. Video Chapters: Nash Equilibrium  00:00 Introduction 00:19 Topics Covered 00:33 Nash Equilibrium  01:55 Example 1  02:30 Example 2 04:46 Game Core Elements 06:41 Types of Game Strategies 06:55  Prisoner’s Dilemma  07:17  Prisoner’s Dilemma Example 3 09:16 Dominated Strategy  10:56 Applications 11:34 Conclusion The Nash Equilibrium is a concept in game theory that describes a situation where no player can benefit by changing their strategy while the other players keep their strategies unchanged.  No player can increase their payoff by changing their choice alone while others keep theirs the same. Example : If Chrysler, Ford, and GM each choose their production levels so that no company can make more money by changing their choice, it’s a Nash Equilibrium Prisoner’s Dilemma : Two criminals are arrested and interrogated separately. Each has two ...
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Metaheuristic Optimization Algorithms in Web Mining, Text Clustering, Bi...

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Metaheuristic Optimization Algorithms in Big Data, Web Mining and Text Clustering.


Metaheuristic optimization algorithms are best swarm intelligence methods and widely used today in Big Data, Web Mining AND Text clustering. Using metaheuristic optimization algorithms we can solve complex Machine Learning problems. 

Clustering: Clustering is a common text mining technique. We can used clustering technique for the representation of Dataset that contain similarities between objects. We can use clustering in Web mining, Image Processing, Sentiment Analysis, Data Clustering, Text document clustering, and Text classification. Clustering technique is classified into 3 classes:
1.) Overlapping
2.) Partitioning
3.) Hierarchical 

In Partitioning Process we can use metaheuristic optimization approaches. Partitioning process is used for the transformation of any given problem into optimization problem. Partitioning process is based on either minimization or maximization. Partitioning methods are applied in:
- Computer Science for Web mining, Image processing and Image Pattern Recognition.
- In robotics
- In wireless sensor network

Metaheuristic Approaches can be used to solve big data and clustering problems:
- Swarm based optimization algorithms
- Evolutionary Algorithms
- Physics based optimization Algorithms
- Art based optimization algorithms
- Bio-inspired optimization algorithms


This video is based on role of Metaheuristic Optimization Algorithm on the Text Clustering applications, Big Data and Web Mining. and text clustering.
Video Timestamps:
Introduction: 00:00
Metaheuristic Optimization Algorithms Role: 00:25
Text Clustering: 01:12
Clustering Techniques: 02:20
Fitness Function: 02:32
Partitioning Methods: 03:02
Clustering Example: 04:04
Clustering Process: 05:06
Text Clustering Problem: 06:54
Metaheuristic Optimization Algorithms in Text Clustering: 07:46
Text clustering measures: 09:19
Web Document Clustering: 09:30


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