mphil-intro-module
Jupyter notebooks on inference, regression and classification for MPhil students
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최종 버전 다운로드 (.zip)- index-checkpoint.ipynb
- classification-checkpoint.ipynb
- classification-knn-checkpoint.ipynb
- classification_datasets-checkpoint.ipynb
- classification_gradient_case_study-checkpoint.ipynb
- classification_intro-checkpoint.ipynb
- classification_kNN-checkpoint.ipynb
- classification_logistic_regression_ML_fitting-checkpoint.ipynb
- classification_logistic_regression_model-checkpoint.ipynb
- classification_multiclass-checkpoint.ipynb
- classification_non-linear-checkpoint.ipynb
- Untitled-checkpoint.ipynb
- helper_functions.cpython-35.pyc
- helper_functions.cpython-36.pyc
- helper_functions.cpython-37.pyc
- classification.ipynb
- 1d-non-linear-model.svg
- 1d-regression-classification-q.svg
- 1d-regression-classification.svg
- class_1d_animation.gif
- class_1d_datagen.py
- class_1d_inputs.npy
- class_1d_labels.npy
- class_animation.gif
- class_crescent_datagen.py
- class_crescent_inputs.npy
- class_crescent_labels.npy
- class_iris_animation.gif
- classification_bayesian.ipynb
- classification_datasets.ipynb
- classification_gradient_case_study.ipynb
- classification_intro.ipynb
- classification_kNN.ipynb
- classification_logistic_regression_ML_fitting.ipynb
- classification_logistic_regression_model.ipynb
- classification_multiclass.ipynb
- classification_non-linear.ipynb
- classification_overfitting.ipynb
- grad-dec-latex.eps
- grad-dec-latex.tex
- gradient-ascent-schematic.svg
- intro-classification.svg
- iris_data.py
- iris_data.txt
- iris_inputs_2d.npy
- iris_inputs_full.npy
- iris_labels.npy
- iris_labels_2d.npy
- iris_labels_full.npy
- iris_matrix.svg
- iris_matrix_2D.svg
- iris_matrix_2D_mod.svg
- iris_matrix_mod.svg
- iris_test_knn.txt
- iris_x_full.npy
- iris_y_full.npy
- linear_neuron.gif
- logit_probit.svg
- logit_probit_scaled.svg
- mnist.svg
- mnist_download.py
- mnist_images.npy
- mnist_labels.npy
- probit-solution.png
- single_neuron.gif
- softmax-solution-1.png
- softmax-solution-2.png
- training_single_neuron.gif
- validation_set.GIF
- weight_space_single_neuron.svg
- why_linear_class.txt
- clust_mog-checkpoint.ipynb
- clustering_intro-checkpoint.ipynb
- clustering_k_means-checkpoint.ipynb
- clustering_k_means_images-checkpoint.ipynb
- helper_functions.cpython-35.pyc
- 000.png
- 001.png
- 002.png
- 003.png
- clust_convergence_animation.py
- clust_kmeans_fail_ex.py
- clust_kmeans_fail_ex.svg
- clust_kmeans_pathology.npy
- clust_kmeans_pathology.svg
- clust_mog.ipynb
- clust_permuted_mog_1.svg
- clust_permuted_mog_2.svg
- clust_permuted_mog_3.png
- clust_permuted_mog_3.svg
- clust_permutted_mog.py
- clustering_2d.npy
- clustering_2d_classes.npy
- clustering_datagen.py
- clustering_datagen_pathology.py
- clustering_example.pdf
- clustering_example.svg
- clustering_intro.ipynb
- clustering_intro_example.py
- clustering_k_means.ipynb
- clustering_k_means_images.ipynb
- clustering_kmeans_pathologies.py
- ex_1.jpg
- ex_2.jpg
- ex_3.jpg
- ex_4.jpg
- sleepy_cat.jpg
- sleepy_dog.jpg
- iris_maxlik_visualisation.py
- iris_softmax_visualisation.py
- iris_softmax_visualisation_2d.py
- linear_neuron_gif.py
- logit_probit.py
- mnist_plotter.py
- single_neuron_gif.py
- training_single_neuron.py
- weight_space_single_neuron.py
- radio_numberline.py
- reg_lin_weight_visualisation.py
- intro_to_inference-checkpoint.ipynb
- medical_example-checkpoint.ipynb
- radioactive-checkpoint.ipynb
- radioactive_-checkpoint.ipynb
- radioactive_heuristic_methods-checkpoint.ipynb
- radio_bayes_proof.txt
- radio_lik.txt
- radio_monotonic.txt
- radioactive_.ipynb
- intro_to_inference.ipynb
- medical-solution-A.svg
- medical-solution-B.svg
- medical-solution-decision.svg
- medical_example.ipynb
- radio_datagen.py
- radio_hist.svg
- radio_least_sq.svg
- radio_lik_with_lam.svg
- radio_numberline-mod.svg
- radio_numberline.svg
- radio_post.svg
- radio_post_mean_MAP.svg
- radio_post_samps.svg
- radio_pred.svg
- radioactive.ipynb
- radioactive.npy
- radioactive_heuristic_methods.ipynb
- solution-coin.png
- solution-dec-theory-1.png
- solution-dec-theory-2.png
- solution-depth.png
- solution-game-show-1.png
- solution-game-show-2.png
- regression-checkpoint.ipynb
- regression_bayesian-checkpoint.ipynb
- regression_bayesian-online-visualisations-checkpoint.ipynb
- regression_intro-checkpoint.ipynb
- regression_linear-checkpoint.ipynb
- regression_non_linear-checkpoint.ipynb
- regression_overfitting-checkpoint.ipynb
- regression_regularisation-checkpoint.ipynb
- helper_functions.cpython-35.pyc
- intro-regression.pdf
- reg_dists.pdf
- reg_dists.png
- .DS_Store
- dataset_regression.svg
- intro-regression-latex.eps
- intro-regression-latex.tex
- intro-regression.svg
- non-linear-schematic-latex.eps
- non-linear-schematic-latex.tex
- non-linear-schematic.svg
- reg_dists.svg
- reg_lin_bayes.svg
- reg_lin_datagen.py
- reg_lin_dataset.svg
- reg_lin_fit.svg
- reg_lin_weight_excursion.gif
- reg_lin_x.npy
- reg_lin_y.npy
- reg_nonlin_bayes.svg
- reg_nonlin_datagen.py
- reg_nonlin_dataset.svg
- reg_nonlin_fit.svg
- reg_nonlin_overfitting.svg
- reg_nonlin_regged.svg
- reg_nonlin_x.npy
- reg_nonlin_x_extended.npy
- reg_nonlin_y.npy
- reg_nonlin_y_extended.npy
- reg_train_test.svg
- reg_train_test_regged.svg
- regression.ipynb
- regression_bayesian-online-visualisations.ipynb
- regression_bayesian.ipynb
- regression_intro.ipynb
- regression_linear.ipynb
- regression_non_linear.ipynb
- regression_overfitting.ipynb
- regression_regularisation.ipynb
- solution-ml.png
- solution-multi-output-1.png
- solution-multi-output-2.png
- solution-prob_mod.png
- .gitignore
- helper_functions.py
- index.ipynb
- notebook.css
- README.md
// repository documentation
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