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Listen "02 - Linear Regression & Gradient Descent"
Episode Synopsis
02 - Linear Regression & Gradient Descent
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03 - Locally Weighted & Logistic Regression
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04 - Perceptron & Generalized Linear Model
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05 - GDA & Naive Bayes
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06 - Support Vector Machines
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07 - Kernels
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08 - Data Splits, Models & Cross-Validation
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09 - Approx/Estimation Error & ERM
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10 - Decision Trees & Ensemble Methods
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11 - Introduction to Neural Networks
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