machine_learning_principles

Notebooks and code snippets that help teach/show important foundational principles of machine learning and statistics.

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
vla_grid_world		vla_grid_world
.gitignore		.gitignore
Auto_Budget.ipynb		Auto_Budget.ipynb
Bernoulli_Distribution.ipynb		Bernoulli_Distribution.ipynb
Binary_Cross_Entropy_Loss.ipynb		Binary_Cross_Entropy_Loss.ipynb
Logistic_Regression.ipynb		Logistic_Regression.ipynb
Poisson_Distribution.ipynb		Poisson_Distribution.ipynb
README.md		README.md
acc_v_conf.py		acc_v_conf.py
chi_squared.ipynb		chi_squared.ipynb
diffusion_unet.py		diffusion_unet.py
frozen_image_net_weights.py		frozen_image_net_weights.py
hierarchical.py		hierarchical.py
loss_landscape.py		loss_landscape.py
svm_pcs_gif.py		svm_pcs_gif.py
torch_distillation.py		torch_distillation.py

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