Index of /~reygers/lectures/2020/smipp

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[PARENTDIR]Parent Directory  -  
[   ]stat_methods_ws2020_01_basics.pdf2020-11-10 13:10 4.4M 
[   ]stat_methods_ws2020_02_distributions.pdf2020-11-12 12:16 7.1M 
[   ]p-values_and_n-sigma.ipynb2020-11-12 20:55 2.7K 
[   ]gaussian_error_propagation.ipynb2020-11-13 20:37 3.4K 
[   ]gaussian_error_propagation_correlated_variables.ipynb2020-11-13 20:37 5.1K 
[   ]stat_methods_ws2020_03_uncertainty.pdf2020-11-18 13:14 7.0M 
[   ]error_ellipse.ipynb2020-11-19 14:52 9.8K 
[   ]random_numbers_mv_normal_distr.ipynb2020-11-23 11:28 17K 
[   ]random_numbers_from_distribution.ipynb2020-11-23 12:39 17K 
[   ]stat_methods_ws2020_04_MC.pdf2020-11-25 20:23 5.6M 
[TXT]data_ml_fit.txt2020-12-02 13:05 9.2K 
[   ]ml_fit_example_iminuit.ipynb2020-12-02 13:11 66K 
[TXT]lighthouse.csv2020-12-04 21:19 18K 
[   ]stat_methods_ws2020_05_maximum_likelihood.pdf2020-12-08 13:56 5.7M 
[   ]stat_methods_ws2020_06_least_squares.pdf2020-12-08 18:51 3.2M 
[   ]dimuon.npy2020-12-09 19:31 255K 
[   ]extended_ml_fit_example.ipynb2020-12-10 00:28 25K 
[   ]total_least_squares.ipynb2020-12-14 21:34 66K 
[   ]basic_chi2_fit_iminuit.ipynb2020-12-14 21:34 88K 
[   ]stat_methods_ws2020_07_hyp_testing_of_gof.pdf2020-12-15 22:12 2.6M 
[TXT]two_photon_inv_masses.csv2020-12-16 10:06 21K 
[   ]stat_methods_ws2020_08_confidence_intervals.pdf2021-01-13 12:59 6.4M 
[TXT]magic04_names.txt2021-01-20 12:18 5.3K 
[TXT]magic04_data.txt2021-01-20 12:20 1.4M 
[   ]stat_methods_ws2020_09_machine_learning_slides_1-43.pdf2021-01-21 08:53 9.2M 
[TXT]exam.txt2021-01-21 10:04 160  
[   ]plot_2d_gaussian.ipynb2021-01-21 10:06 102K 
[   ]logistic_regression.ipynb2021-01-21 10:06 21K 
[   ]iris_softmax_regression.ipynb2021-01-21 10:10 68K 
[   ]stat_methods_ws2020_09_machine_learning_slides_1-79.pdf2021-01-28 00:03 17M 
[TXT]L0.txt2021-01-28 21:46 24K 
[TXT]K0.txt2021-01-28 21:47 25K 
[TXT]HIGGS_10k.csv2021-01-28 21:48 7.0M 
[TXT]HIGGS_100k.csv2021-01-28 21:52 70M 
[   ]stat_methods_ws2020_09_machine_learning.pdf2021-02-04 09:42 17M 
[   ]stat_methods_ws2020_10_unfolding.pdf2021-02-04 09:42 3.7M 
[   ]mnist_keras_train.ipynb2021-02-10 18:12 60K 
[   ]mnist_keras_apply.ipynb2021-02-10 18:12 14K 
[   ]practical_tips.ipynb2021-02-10 18:12 60K 
[   ]mnist_softmax_regression.ipynb2021-02-10 18:12 17K 
[   ]stat_methods_ws2020_A_selected_topic_1_Kalman_filter.pdf2021-02-11 11:26 6.6M 
[   ]stat_methods_ws2020_A_selected_topic_2_cnn_with_keras.pdf2021-02-11 11:26 1.3M 
[   ]stat_methods_ws2020_A_selected_topic_3_practical_tips.pdf2021-02-11 11:26 376K 

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