#### Advanced Computational Biology I-II (2021)

Graduate course, Department of Molecular Genetics, University of Toronto. Note: only lectures given by me are listed below.

##### Lectures

- [1.1.2]
**An introduction to reproducible computational research**[slides]- Why work reproducibly?
- Pseudorandom number generation and seeds
- An introduction to Snakemake

- [1.3.2]
**An introduction to supervised machine learning**[slides]- An overview of supervised learning
- Linear regression models
- Loss optimization via gradient descent
- Classification with logistic regression
- More complex models
- Train/test splits
- Model complexity: overfitting and underfitting
- Penalized regression

- [2.1]
**Unsupervised learning**[slides] - [2.4.1]
**Bayesian inference**[slides] - [2.4.2]
**An introduction to deep learning**[slides]