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Machine Learning for Biologists

Machine Learning for Biologists
Key Points
Glossary
Learner Profiles
- References

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Machine Learning for Biologists

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EPISODES

Summary and Setup

1. Introduction

2. Classifying T-cells

3. Evaluating a Model

4. Decision Trees, Random Forests, and Overfitting

5. Logistic Regression, Artificial Neural Networks, and Linear Separability

6. Understanding Machine Learning Literature

7. Conclusion and next steps

Key Points
Glossary
Learner Profiles
References

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Learner Profiles

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