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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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Metaheuristic Optimization Algorithms |Nature-Inspired Algorithms, Evolutionary Algorithms

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Metaheuristic Optimization Algorithms                     Metaheuristic Algorithms Categories. 1. Single Based Metaheuristic Algorithms: Single Solution is generated at each iteration/generation. 2. Population-Based Metaheuristic Algorithms: Multiple Solutions are generated at each iteration/generation. Single Based Metaheuristic Algorithms Examples. 1. Tabu Search 2. Guided Local Search 3. Iterated Local Search 4. Variable Neighborhood Search 5. Greedy Randomized Adaptive Search Population-Based Metaheuristic Algorithms Classification. Metaheuristic Algorithm Step-by-Step with Numerical Examples. WATCH NOW: CLICK HERE 1. Nature-Inspired Metaheuristic Algorithm 2. Evolutionary Algorithms 3. Swarm Based Algorithm 4. Human-Based Algorithm 5. Physics-Based Algorithm 6. Bio-Inspired Algorithm 7. Art-Inspired Algorithm 8. Plant-Based Algorithm Evolutionary Algorithms Examples Evolutionary Algorithm Step-by-Step with Numerical Ex...
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