machine learning
no organization whatsoever
less rigorous (i think?), but still rigorous:
nodes
- decision tree
- linear regression
- feedforward neural network
- convolutional neural network
- conv gan with pytorch
- n-gram language model
- hidden markov model
books
the most up to date ones are (also open source, the first has a huuge community!):
less rigorous (i think?), but still rigorous:
- mathematics for machine learning
- pattern recognition and machine learning bishop
- deep learning architectures a mathematical approach