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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

Ant Colony Optimization Numerical Example Step-By-Step ~xRay Pixy

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Ant Colony Optimization Numerical Example Step-By-Step 00:00 Introduction 01:34 Ant Colony Optimization Steps 04:33 Step 1 Parameter Initialization 06:14 Step 2 Population Initialization 06:40 Step 3 Path Selection by Ants 12:16 Step 4 Objective Function Evaluation 14:28 Step 5 Test Convergence 15:27 Step 6 Second Iteration Start 15:36 Step 7 Pheromone Update 18:20 Step 8 Repeat ACO Loop 19:27 Path Selection by Ants 21:42 Objective Function Evaluation 22:51 Test Convergence 22:58 Third Iteration 23:25 Pheromone Update 24:26 Path Selection by Ants 25:00 Conclusion Ant Colony Optimization (ACO) Algorithm Steps Initialize Parameters. Initialize Ants Population. Calculate Path Selection Probability by ants. Apply Roulette Wheel Selection Process. Calculate Objective Function Values. Test Process Convergence. Increment Counter. Update Pheromones. Repeat Step 3 to Step 6. Display Best Solution  How to Calculate Path Selection Probability by Ants? For any ant (k), the Probability of Selec...
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