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Confusion Matrix with Real-Life Examples || Artificial Intelligence || ~...

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Learn about the Confusion Matrix with Real-Life Examples. A confusion matrix is a table that shows how well an AI model makes predictions. It compares the actual results with the predicted ones and tells which are right or wrong. It includes True Positive (TP), False Positive (FP), False Negative (FN), and True Negative (TN). Video Chapters: Confusion Matrix in Artificial Intelligence 00:00 Introduction 00:12 Confusion Matrix 03:48 Metrices Derived from Confusion Matrix 04:26 Confusion Matrix Example 1 05:44 Confusion Matrix Example 2 08:10 Confusion Matrix Real-Life Uses #artificialintelligence #machinelearning #confusionmatrix #algorithm #optimization #research #happylearning #algorithms #meta #optimizationtechniques #swarmintelligence #swarm #artificialintelligence #machinelearning
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Firefly Algorithm In Hindi ~xRay Pixy

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Learn Firefly Algorithm Step-By-Step using Numerical Examples. Video Chapters: Firefly Algorithm 00:00 Introduction 00:40 Topics Covered 01:01 Firefly Algorithm 01:42 Firefly Algorithm Applications 01:57 Firefly Algorithm Working 03:50 Firefly Algorithm Mathematical Models 05:52 Firefly Algorithm Step-By-Step 13:58 Firefly Algorithm Advantages & Limitations 14:29 Conclusion Firefly Algorithm In Hindi ~xRay Pixy Click here  Video Link The Firefly Algorithm (FA) is a nature-inspired optimization algorithm developed by Xin-She Yang in 2008. It mimics the behavior of fireflies, specifically their flashing patterns, which are used for attracting mates or prey. Firefly Algorithm Core Concept Attraction : The attractiveness of a firefly is proportional to its brightness. A brighter firefly attracts less bright fireflies. Brightness : The brightness is associated with the fitness of the solution at a firefly's position. Movement : A less bright firefly moves toward a brighter firefly....
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