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7. Natural Language Processing (NLP), Part 1

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7.4 Boosting and AdaBoost (L07: Ensemble Methods)

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7.3 Bagging (L07: Ensemble Methods)

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Neural Networks Pt. 2: Backpropagation Main Ideas

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Neural Networks are for Type-Casting with Charles Frye

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Data Augmentation with TensorFlow's Keras API

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TensorFlow Tutorial 09 - Transfer Learning

12. Machine Learning for Pathology

11. Differential Diagnosis

16. Reinforcement Learning, Part 1

9. Translating Technology Into the Clinic

4. Risk Stratification, Part 1

6. Physiological Time-Series

5. Risk Stratification, Part 2

18. Disease Progression Modeling and Subtyping, Part 1

17. Reinforcement Learning, Part 2

7.2 Majority Voting (L07: Ensemble Methods)

7.1 Intro to ensemble methods (L07: Ensemble Methods)

6.7 Code Example Implementing Decision Trees in Scikit-Learn (L06: Decision Trees)

6.6 Improvements & dealing with overfitting (L06: Decision Trees)

6.5 Gini & Entropy versus misclassification error (L06: Decision Trees)

Jesse Mu on Explaining Neurons Compositionally

W&B Deep Learning Salon - Jesse Mu and Charles Frye

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