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This video contains the explanation of chapter 2 Advanced Concepts of Modeling in AI for class 10 ------------------------------------------------------------------------------------------------------------------ Thank you for tuning in. Make sure to leave a like and do subscribe if you like the Video. ------------------------------------------------------------------------------------------------------------------ Time Stamps 0:00 - 0:42 - Introduction 0:43 - 0:50 - Revisiting AI, ML & DL 0:51 - 2:00 - Artificial Intelligence (AI) 2:01 - 5:25 - Machine Learning (ML) 5:26 - 8:45 - Deep Learning (DL) 8:55 - 10:24 - Difference Between AI , ML & DL 10:25 - 11:12 - What is Data 11:13 - 12:37 - Features And Label 12:38 - 13:13 - Labeled and Unlabeled Data 13:14 - 15:41 - Training Data and Testing Data 15:42 - 17:26 - Modelling 17:26 - 17:34 - AI Models 17:35 - 21:12 - Rule Based Approach 21:13 - 24:29 - Learning Based Approach 24:30 - 24:58 - AI Models Flow Chart 24:59 - 28:32 - Supervised Learning 28:33 - 30:05 - Unsupervised Learning 30:06 - 31:15 - Supervised Vs. Unsupervised Learning 31:16 - 32:53 - Reinforcement Learning 32:54 - 34:00 - ML Models 34:01 - 34:10 - Classification of Supervised Learning 34:11 - 37:58 - Classification Model 37:59 - 40:49 - Regression Model 40:50 - 41:00 - Classification of Unsupervised Learning 41:01 - 42:20 - Clustering Model 42:21 - 43:11 - Difference Between Clustering & Classification 43:12 - 44:25 - Examples of Clustering Model 44:26 - 46:52 - Association Model 46:53 - 47:30 - Deep Learning 47:31 - 47:54 - Artificial Neural Networks 47:28 - 48:19 - Convolutional Neural Network 48:20 - 52:20 - Artificial Neural Network 52:21 - 53:13 - How does AI make a Decisions 53:14 - 59:37 - Perceptron ------------------------------------------------------------------------------------------------------------------ #cbse #cbse2025 #cbseclass10 #cbseboard #ai #artificialintelligence #class10 #newsyllabus