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The Learning Problem :: Course Introduction @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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The Learning Problem :: What Is Machine Learning @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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The Learning Problem :: Applications of Machine Learning @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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The Learning Problem :: Components of Learning @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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The Learning Problem :: Machine Learning and Other Fields @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Learning to Answer Yes/No :: Perceptron Hypothesis Set @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Learning to Answer Yes/No :: Perceptron Learning Algorithm @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Learning to Answer Yes/No :: Guarantee of PLA @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Learning to Answer Yes/No :: Non-Separable Data @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Types of Learning :: Learning with Different Output Space @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Types of Learning :: Learning with Different Data Label @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Types of Learning :: Learning with Different Protocol @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Types of Learning :: Learning with Different Input Space @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Feasibility of Learning :: Learning is Impossible? @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Feasibility of Learning :: Probability to the Rescue @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Feasibility of Learning :: Connection to Learning @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Feasibility of Learning :: Connection to Real Learning @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Training versus Testing :: Recap and Preview @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Training versus Testing :: Effective Number of Lines @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Training versus Testing :: Effective Number of Hypotheses @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Training versus Testing :: Break Point @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Theory of Generalization :: Restriction of Break Point @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Theory of Generalization :: Bounding Function: Basic Cases @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Theory of Generalization :: Bounding Function: Inductive @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Theory of Generalization :: A Pictorial Proof @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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The VC Dimension :: Definition of VC Dimension @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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The VC Dimension :: VC Dimension of Perceptrons @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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The VC Dimension :: Physical Intuition of VC Dimension @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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The VC Dimension :: Interpreting VC Dimension @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Noise and Error :: Noise and Probabilistic Target @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Noise and Error :: Error Measure @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Noise and Error :: Algorithmic Error Measure @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Noise and Error :: Weighted Classification @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Linear Regression :: Linear Regression Problem @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Linear Regression :: Linear Regression Algorithm @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Linear Regression :: Generalization Issue @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Linear Regression :: for Binary Classification @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Logistic Regression :: Logistic Regression Problem @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Logistic Regression :: Logistic Regression Error @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Logistic Regression :: Gradient of Logistic Regression Error @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Logistic Regression :: Gradient Descent @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Linear Models for Classification :: Binary Classification @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Linear Models for Classification :: Stochastic Grad. Descent @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Linear Models for Classification :: Multiclass via Logistic @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Linear Models for Classification :: Multiclass via Binary @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Nonlinear Transformation :: Quadratic Hypotheses @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Nonlinear Transformation :: Nonlinear Transform @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Nonlinear Transformation :: Price of Nonlinear Transform @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Nonlinear Transformation :: Structured Hypothesis Sets @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Hazard of Overfitting :: What is Overfitting? @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Hazard of Overfitting :: The Role of Noise and Data Size @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Hazard of Overfitting :: Deterministic Noise @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Hazard of Overfitting :: Dealing with Overfitting @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Regularization :: Regularized Hypothesis Set @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Regularization :: Weight Decay Regularization @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Regularization :: Regularization and VC Theory @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Regularization :: General Regularizers @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Validation :: Model Selection Problem @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Validation :: Validation @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Validation :: Leave-One-Out Cross Validation @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Validation :: V-Fold Cross Validation @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Three Learning Principles :: Occam's Razor @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Three Learning Principles :: Sampling Bias @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Three Learning Principles :: Data Snooping @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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Three Learning Principles :: Power of Three @ Machine Learning Foundations (機器學習基石)
上傳者：Hsuan-Tien Lin
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