视频选集 Lecture_1_Problem_Formulation_&_Notation.zh_en Lecture_2_Machine_Learning_as_Function_Approximation.zh_en Lecture_3_Decision_Trees.zh_en Lecture_4_Overfitting_&_k-Nearest_Neighbors.zh_en Lecture_5_KNNs_&_Model_Selection.zh_en Lecture_6_Perceptron.zh_en Lecture_7_Linear_Regression.zh_en Lecture_8_Optimization_for_Machine_Learning.zh_en Lecture_9_Stochastic_Gradient_Descent_Logistic_Regression.zh_en Lecture_10_Regularization.zh_en Lecture_11_Neural_Networks.zh_en Lecture_12_Backpropagation_I.zh_en Lecture_13_Backpropagation_II.zh_en Lecture_14_PAC_Learning.zh_en Lecture_15_PAC_Learning_MLE+MAP.zh_en Lecture_16_Naive_Bayes.zh_en Lecture_17_Foundations_RNNs_and_CNNs.zh_en Lecture_18_Transformers_and_Autodiff.zh_en Lecture_19_Pre-training_Fine-tuning_In-context_Learning.zh_en Lecture_20_Reinforcement_Learning_MDPs.zh_en Lecture_21_Reinforcement_Learning_Value_Policy_Iteration.zh_en Lecture_22_Reinforcement_Learning_Q-Learning_Deep_RL.zh_en Lecture_23_Dimensionality_Reduction_PCA.zh_en Lecture_24_K-Means_Ensemble_Methods_Bagging.zh_en Lecture_25_Ensemble_Methods_Boosting_Recommender_Systems.zh_en Lecture_26_Algorithmic_Bias.zh_en 27_Special_Topics_Generative_Models_for_Vision_Significance_Testing_for_ML Exam_1_Review.zh_en Exam_2_Review.zh_en Recitation_8_Reinforcement_Learning.zh_en Recitation_Exam_3_Review.zh_en Recitation_HW1_Calculus.zh_en Recitation_HW1_Computational_Complexity.zh_en Recitation_HW1_Dynamic_Programming.zh_en Recitation_HW1_Linear_Algebra_and_Geometry.zh_en Recitation_HW1_NumPy.zh_en Recitation_HW1_Probability_(Part_1).zh_en Recitation_HW1_Probability_(Part_2).zh_en Recitation_HW1_Trees.zh_en Recitation_HW2.zh_en Recitation_HW3.zh_en Recitation_HW4.zh_en Recitation_HW_5_Review.zh_en Rectiation_HW6_Colab_Tutorial.zh_en Recitation_HW6.zh_en Recitation_HW7.zh_en Recitation_HW9.zh_en
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