The following are lecture notes from the year 2019.
| Overview |
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| Essential Celluar Biology |
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| Essential Celluar Biology (continued) |
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| Essential Bioinformatis skills |
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| Essential Bioinformatis skills (continued) |
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| Fundamentals of machine learning |
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| Fundamentals of machine learning |
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| Fundamentals of machine learning |
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| Fundamentals of machine learning |
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| Unsupervised learning |
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| Regularized linear models |
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| Decision Trees |
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| Hidden Markov Models |
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| Support Vector Machines |
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| Kernel Methods |
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| Deep Learning Fundamentals |
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| Deep Learning Embeddings and Transfer Learning |
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| Deep Learning Architecture |
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| Deep Learning Practical Considerations |
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| Rule Learning |
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| Graph Learning |
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| Ensemble Learning |
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