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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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Pathways to Thinking || How We See, Feel, Figure Things Out || ~xRay Pixy

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By understanding different levels of thinking, we learn how to build knowledge step by step — from remembering facts to creating new ideas.  Video Chapters: Pathways to Thinking 00:00 Introduction 00:51 Cognitive Psychology 03:52 Analytical thinking 04:39 Critical thinking 05:01 Reflective thinking 05:26 Intuitive thinking 06:47 Visible Thinking Routines (Harvard Project Zero) 09:24 Neuroscience, Creativity, Philosophy 09:33 Neural Pathways 10:01 Neuroplasticity 10:29 Webb's Depth of Knowledge (DoK) framework 10:50 Inference 11:10 Minimum Base – Art for Sorting and Interpretation 11:35 Assumption Analysis
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