Resources
Python
Google Cloud Resources
Machine Learning and Deep Learning
- Deep Learning book
- fast.ai Course
- Google Machine Learning Crash Course
- A Review Article on Deep Learning
- The Convergence of Human and Artificial Intelligence
- Artificial Intelligence in Healthcare
- Opportunities and Obstacles for Deep Learning in Biology and Medicine
- Guidelines for Reinforcement Learning in Healthcare
- Adversarial Attacks on Medical Machine Learning
Data Resources
Git and Github
- git Reference
- Understanding git Conceptually - A tutorial for the most common operations.
- GitHub git Desktop Client - A desktop client for git for Mac OS X and Windows.
- githug - A command line based game to learn git. Highly recommended!
Linear Algebra, Statistics, and Machine Learning
- fast.ai
- Stanford CS229 Linear Algebra Primer
- fast.ai Linear Algebra
- Additional Linear Algebra
- Notes on linear algebra needed for Deep Learning
- Fast Hamiltonian Monte Carlo Using GPU Computing - Shows how to take a statistical model, convert it to matrix operations, and use a GPU to fit it.
Tools
- Keras The deep learning library we will be using in this class.
- Tensorflow
Project Resources
Below are some papers that could give you ideas for your course project:
- MIMIC-CXR: A Large Publicly Available Database of Labeled Chest Radiographs
- CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
- CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning - See also this blog post which discusses this paper.
- Multitask Learning and Benchmarking with Clinical Time Series Data
- Learning to diagnose with LSTM recurrent neural networks
- Evaluating deep variational autoencoders trained on pan-cancer gene expression
- Semi-supervised learning of the electronic health record for phenotype stratification
- U-net: Convolutional networks for biomedical image segmentation
- Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
- Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
- Deep Learning Predicts Tuberculosis Drug Resistance Status from Whole-Genome Sequencing Data
Here are some healthcare data resources that may be useful in your projects: