Chapter 4. Summary Ensemble Methods for Machine Learning, Video Edition
Course Content
0 / 55 completedChapter 1. Summary Ensemble Methods for Machine Learning, Video Edition
Chapter 1. Our first ensemble Ensemble Methods for Machine Learning, Video Edition
Chapter 1. Ensemble methods Hype or hallelujah Ensemble Methods for Machine Learning, Video Edition
Chapter 1. Fit vs. complexity in individual models Ensemble Methods for Machine Learning, Video Edition
Chapter 1. Terminology and taxonomy for ensemble methods Ensemble Methods for Machine Learning, Video Edition
Chapter 1. Why you should care about ensemble learning Ensemble Methods for Machine Learning, Video Edition
Chapter 2. Case study Breast cancer diagnosis Ensemble Methods for Machine Learning, Video Edition
Chapter 2. Bagging Bootstrap aggregating Ensemble Methods for Machine Learning, Video Edition
Chapter 2. Homogeneous parallel ensembles Bagging and random forests Ensemble Methods for Machine Learning, Video Edition
Chapter 2. More homogeneous parallel ensembles Ensemble Methods for Machine Learning, Video Edition
Chapter 2. Summary Ensemble Methods for Machine Learning, Video Edition
Chapter 3. Case study Sentiment analysi Ensemble Methods for Machine Learning, Video Edition
Chapter 2. Random forests Ensemble Methods for Machine Learning, Video Edition
Chapter 3. Combining predictions by meta-learning Ensemble Methods for Machine Learning, Video Edition
Chapter 3. Combining predictions by weighting Ensemble Methods for Machine Learning, Video Edition
Chapter 3. Summary Ensemble Methods for Machine Learning, Video Edition
Chapter 3. Heterogeneous parallel ensembles Combining strong learners Ensemble Methods for Machine Learning, Video Edition
Chapter 4. AdaBoost Adaptive boosting Ensemble Methods for Machine Learning, Video Edition
Chapter 4. AdaBoost in practice Ensemble Methods for Machine Learning, Video Edition
Chapter 4. Case study Handwritten digit classification Ensemble Methods for Machine Learning, Video Edition
Chapter 4. LogitBoost Boosting with the logistic loss Ensemble Methods for Machine Learning, Video Edition
Chapter 4. Summary Ensemble Methods for Machine Learning, Video Edition
Chapter 4. Sequential ensembles Adaptive boosting Ensemble Methods for Machine Learning, Video Edition
Chapter 5. Case study Document retrieval Ensemble Methods for Machine Learning, Video Edition
Chapter 5. LightGBM A framework for gradient boosting Ensemble Methods for Machine Learning, Video Edition
Chapter 5. LightGBM in practice Ensemble Methods for Machine Learning, Video Edition
Chapter 5. Gradient boosting Gradient descent + boosting Ensemble Methods for Machine Learning, Video Edition
Chapter 5. Summary Ensemble Methods for Machine Learning, Video Edition
Chapter 5. Sequential ensembles Gradient boosting Ensemble Methods for Machine Learning, Video Edition
Chapter 6. Case study redux Document retrieval Ensemble Methods for Machine Learning, Video Edition
Chapter 6. Sequential ensembles Newton boosting Ensemble Methods for Machine Learning, Video Edition
Chapter 6. Summary Ensemble Methods for Machine Learning, Video Edition
Chapter 6. Newton boosting Newton’s method + boosting Ensemble Methods for Machine Learning, Video Edition
Chapter 6. XGBoost A framework for Newton boosting Ensemble Methods for Machine Learning, Video Edition
Chapter 6. XGBoost in practice Ensemble Methods for Machine Learning, Video Edition
Chapter 7. Case study Demand forecasting Ensemble Methods for Machine Learning, Video Edition
Chapter 7. Learning with continuous and count labels Ensemble Methods for Machine Learning, Video Edition
Chapter 7. Parallel ensembles for regression Ensemble Methods for Machine Learning, Video Edition
Chapter 7. Summary Ensemble Methods for Machine Learning, Video Edition
Chapter 7. Sequential ensembles for regression Ensemble Methods for Machine Learning, Video Edition
Chapter 8. Case study Income prediction Ensemble Methods for Machine Learning, Video Edition
Chapter 8. Encoding high-cardinality string features Ensemble Methods for Machine Learning, Video Edition
Chapter 8. CatBoost A framework for ordered boosting Ensemble Methods for Machine Learning, Video Edition
Chapter 8. Learning with categorical features Ensemble Methods for Machine Learning, Video Edition
Chapter 8. Summary Ensemble Methods for Machine Learning, Video Edition
Chapter 9. Case study Data-driven marketing Ensemble Methods for Machine Learning, Video Edition
Chapter 9. Black-box methods for local explainability Ensemble Methods for Machine Learning, Video Edition
Chapter 9. Black-box methods for global explainability Ensemble Methods for Machine Learning, Video Edition
Chapter 9. Explaining your ensembles Ensemble Methods for Machine Learning, Video Edition
Chapter 9. Summary Ensemble Methods for Machine Learning, Video Edition
Chapter 9. Glass-box ensembles Training for interpretability Ensemble Methods for Machine Learning, Video Edition
Part 1. The basics of ensembles Ensemble Methods for Machine Learning, Video Edition
Part 2 Essential ensemble methods Ensemble Methods for Machine Learning, Video Edition
Epilogue Ensemble Methods for Machine Learning, Video Edition
Part 3. Ensembles in the wild Adapting ensemble methods to your data Ensemble Methods for Machine Learning, Video Edition