Ensemble Methods for Machine Learning, Video Edition

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Chapter 1 Ensemble methods Hype or hallelujah Ensemble Methods for Machine Learning, Video Edition.mp4 (23.03 MB)
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Chapter 1 Fit vs complexity in individual models Ensemble Methods for Machine Learning, Video Edition.mp4 (42.11 MB)
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Chapter 1 Our first ensemble Ensemble Methods for Machine Learning, Video Edition.mp4 (14.49 MB)
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Chapter 1 Summary Ensemble Methods for Machine Learning, Video Edition.mp4 (2.96 MB)
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Chapter 1 Terminology and taxonomy for ensemble methods Ensemble Methods for Machine Learning, Video Edition.mp4 (11.42 MB)
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Chapter 1 Why you should care about ensemble learning Ensemble Methods for Machine Learning, Video Edition.mp4 (16.95 MB)
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Chapter 2 Bagging Bootstrap aggregating Ensemble Methods for Machine Learning, Video Edition.mp4 (41.9 MB)
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Chapter 2 Case study Breast cancer diagnosis Ensemble Methods for Machine Learning, Video Edition.mp4 (29.63 MB)
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Chapter 2 Homogeneous parallel ensembles Bagging and random forests Ensemble Methods for Machine Learning, Video Edition.mp4 (14.96 MB)
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Chapter 2 More homogeneous parallel ensembles Ensemble Methods for Machine Learning, Video Edition.mp4 (16.18 MB)
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Chapter 2 Random forests Ensemble Methods for Machine Learning, Video Edition.mp4 (22.32 MB)
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Chapter 2 Summary Ensemble Methods for Machine Learning, Video Edition.mp4 (5.34 MB)
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Chapter 3 Case study Sentiment analysi Ensemble Methods for Machine Learning, Video Edition.mp4 (37.88 MB)
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Chapter 3 Combining predictions by meta-learning Ensemble Methods for Machine Learning, Video Edition.mp4 (35.21 MB)
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Chapter 3 Combining predictions by weighting Ensemble Methods for Machine Learning, Video Edition.mp4 (42.25 MB)
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Chapter 3 Heterogeneous parallel ensembles Combining strong learners Ensemble Methods for Machine Learning, Video Edition.mp4 (38.37 MB)
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Chapter 3 Summary Ensemble Methods for Machine Learning, Video Edition.mp4 (7.68 MB)
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Chapter 4 AdaBoost Adaptive boosting Ensemble Methods for Machine Learning, Video Edition.mp4 (51.51 MB)
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Chapter 4 AdaBoost in practice Ensemble Methods for Machine Learning, Video Edition.mp4 (21.11 MB)
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Chapter 4 Case study Handwritten digit classification Ensemble Methods for Machine Learning, Video Edition.mp4 (19.79 MB)
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Chapter 4 LogitBoost Boosting with the logistic loss Ensemble Methods for Machine Learning, Video Edition.mp4 (14.52 MB)
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Chapter 4 Sequential ensembles Adaptive boosting Ensemble Methods for Machine Learning, Video Edition.mp4 (18.08 MB)
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Chapter 4 Summary Ensemble Methods for Machine Learning, Video Edition.mp4 (4.55 MB)
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Chapter 5 Case study Document retrieval Ensemble Methods for Machine Learning, Video Edition.mp4 (23.31 MB)
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Chapter 5 Gradient boosting Gradient descent + boosting Ensemble Methods for Machine Learning, Video Edition.mp4 (56.03 MB)
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Chapter 5 LightGBM A framework for gradient boosting Ensemble Methods for Machine Learning, Video Edition.mp4 (23.36 MB)
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Chapter 5 LightGBM in practice Ensemble Methods for Machine Learning, Video Edition.mp4 (43.41 MB)
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Chapter 5 Sequential ensembles Gradient boosting Ensemble Methods for Machine Learning, Video Edition.mp4 (61.36 MB)
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Chapter 5 Summary Ensemble Methods for Machine Learning, Video Edition.mp4 (5.44 MB)
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Chapter 6 Case study redux Document retrieval Ensemble Methods for Machine Learning, Video Edition.mp4 (17.26 MB)
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Chapter 6 Newton boosting Newton's method + boosting Ensemble Methods for Machine Learning, Video Edition.mp4 (41.72 MB)
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Chapter 6 Sequential ensembles Newton boosting Ensemble Methods for Machine Learning, Video Edition.mp4 (50.42 MB)
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Chapter 6 Summary Ensemble Methods for Machine Learning, Video Edition.mp4 (6.57 MB)
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Chapter 6 XGBoost A framework for Newton boosting Ensemble Methods for Machine Learning, Video Edition.mp4 (25.39 MB)
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Chapter 6 XGBoost in practice Ensemble Methods for Machine Learning, Video Edition.mp4 (15.96 MB)
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Chapter 7 Case study Demand forecasting Ensemble Methods for Machine Learning, Video Edition.mp4 (48.15 MB)
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Chapter 7 Learning with continuous and count labels Ensemble Methods for Machine Learning, Video Edition.mp4 (91.72 MB)
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Chapter 7 Parallel ensembles for regression Ensemble Methods for Machine Learning, Video Edition.mp4 (35.29 MB)
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Chapter 7 Sequential ensembles for regression Ensemble Methods for Machine Learning, Video Edition.mp4 (36.9 MB)
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Chapter 7 Summary Ensemble Methods for Machine Learning, Video Edition.mp4 (7.37 MB)
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Chapter 8 Case study Income prediction Ensemble Methods for Machine Learning, Video Edition.mp4 (36.92 MB)
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Chapter 8 CatBoost A framework for ordered boosting Ensemble Methods for Machine Learning, Video Edition.mp4 (27.16 MB)
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Chapter 8 Encoding high-cardinality string features Ensemble Methods for Machine Learning, Video Edition.mp4 (21.97 MB)
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Chapter 8 Learning with categorical features Ensemble Methods for Machine Learning, Video Edition.mp4 (72.47 MB)
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Chapter 8 Summary Ensemble Methods for Machine Learning, Video Edition.mp4 (10.42 MB)
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Chapter 9 Black-box methods for global explainability Ensemble Methods for Machine Learning, Video Edition.mp4 (48.71 MB)
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Chapter 9 Black-box methods for local explainability Ensemble Methods for Machine Learning, Video Edition.mp4 (62.46 MB)
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Chapter 9 Case study Data-driven marketing Ensemble Methods for Machine Learning, Video Edition.mp4 (19.37 MB)
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Chapter 9 Explaining your ensembles Ensemble Methods for Machine Learning, Video Edition.mp4 (50.97 MB)
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Chapter 9 Glass-box ensembles Training for interpretability Ensemble Methods for Machine Learning, Video Edition.mp4 (36.73 MB)
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Chapter 9 Summary Ensemble Methods for Machine Learning, Video Edition.mp4 (14.74 MB)
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Epilogue Ensemble Methods for Machine Learning, Video Edition.mp4 (25.12 MB)
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Part 1 The basics of ensembles Ensemble Methods for Machine Learning, Video Edition.mp4 (2.61 MB)
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Part 2 Essential ensemble methods Ensemble Methods for Machine Learning, Video Edition.mp4 (4.43 MB)
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Part 3 Ensembles in the wild Adapting ensemble methods to your data Ensemble Methods for Machine Learning, Video Edition.mp4 (7.28 MB)
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