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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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ALGORITHM DESIGN TECHNIQUES

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WHAT IS ALGORITHM DESIGN? Algorithm Design is a specific method to create mathematical process in solving various classical problems, real world complex problems. Techniques for designing and implementing algorithm design are design patterns. ALGORITHM DESIGN TECHNIQUES We have 5 base techniques that can be used to design any algorithm.  Divide and Conquer Greedy Method Dynamic Programming Back Tracking Branch and Bound WHAT IS DIVIDE AND CONQUER TECHNIQUE?  In branch and bound technique, we break the main problem into several sub-problems. Sub-problems are similar to original problem but smaller in size. To solve given problem algorithm call themselves to deal with subproblems. Once subproblems are solved recursively then combine these solutions to create a final solution for the original problem. Merge Sort Algorithm follow Divide and Conquer method. Step 01: Divide the main problem into subproblems [n/2]. Step 02: Solve the subproblems recursively.  Step 03: Combine th...
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