Python for Probability Statistics and Machine Learning | 8A2273F66487B7A58FB4B474E0E2D1CAC2B4F1D5

Python for Probability Statistics and Machine Learning

Name	Python for Probability, Statistics, and Machine Learning	DOWNLOAD Copy Link
Total Size	19.0 MB
Total Files	159
Hash	8A2273F66487B7A58FB4B474E0E2D1CAC2B4F1D5

/.../fig-machine_learning/
pca_006.png	178.0 KB
pca_005.png	119.9 KB
pca_008.png	107.9 KB
svm_004.png	103.0 KB
pca_004.png	100.4 KB
pca_009.png	93.3 KB
clustering_001.png	88.0 KB
ensemble_003.png	80.5 KB
pca_003.png	80.3 KB
svm_003.png	74.6 KB
clustering_003.png	66.8 KB
regularization_003.png	63.5 KB
clustering_004.png	56.1 KB
learning_theory_tmp_003.png	53.5 KB
learning_theory_tmp_002.png	51.9 KB
python_machine_learning_modules_005.png	51.3 KB
pca_002.png	44.6 KB
learning_theory_tmp_001.png	40.4 KB
regularization_004.png	36.8 KB
python_machine_learning_modules_004.png	36.3 KB
ensemble_004.png	35.7 KB
python_machine_learning_modules_003.png	33.3 KB
example_tree_002.png	31.7 KB
ensemble_002.png	31.0 KB
learning_theory_008.png	30.4 KB
pca_001.png	29.1 KB
learning_theory_002.png	28.8 KB
regularization_001.png	26.1 KB
learning_theory_003.png	25.4 KB
clustering_002.png	24.8 KB
learning_theory_005.png	24.2 KB
example_tree_003.png	20.1 KB
example_tree_006.png	20.1 KB
regularization_002.png	19.0 KB
learning_theory_006.png	18.4 KB
example_tree_005.png	17.9 KB
learning_theory_004.png	17.6 KB
ensemble_001.png	17.3 KB
svm_002.png	16.6 KB
example_tree_004.png	16.2 KB
learning_theory_001.png	15.4 KB
svm_001.png	12.7 KB
example_tree_001.png	7.6 KB
/.../src-machine_learning/
PCA.ipynb	1.1 MB
kmeans.ipynb	631.7 KB
Ensemble.ipynb	468.2 KB
LearningCurves.ipynb	399.6 KB
SVM.ipynb	255.2 KB
Logistic_regression.ipynb	243.8 KB
Regularization.ipynb	100.9 KB
DecisionTree.ipynb	71.5 KB
LinearManifoldExample.ipynb	53.5 KB
/extras_unpingco/chapters/machine_learning/notebooks/
pca.ipynb	351.7 KB
learning_theory.ipynb	334.6 KB
svm.ipynb	158.2 KB
clustering.ipynb	155.0 KB
python_machine_learning_modules.ipynb	81.9 KB
decision_trees.ipynb	69.3 KB
logreg.ipynb	62.7 KB
regularization.ipynb	50.9 KB
ensemble.ipynb	14.9 KB
intro.ipynb	1.5 KB
README.md	0.9 KB
/extras_unpingco/chapters/probability/notebooks/fig-probability/
Sampling_Monte_Carlo_008.png	229.4 KB
Sampling_Monte_Carlo_011.png	186.1 KB
Conditional_expectation_MSE_002.png	47.3 KB
Conditional_expectation_MSE_001.png	45.5 KB
probability_003.png	44.8 KB
probability_002.png	43.8 KB
Sampling_Monte_Carlo_005.png	43.7 KB
Sampling_Monte_Carlo_009.png	43.5 KB
Sampling_Monte_Carlo_007.png	38.4 KB
information_entropy_003.png	37.0 KB
NineBall_01.jpg	36.8 KB
ProbabilityInequalities_002.png	31.3 KB
NineBall_02.jpg	29.4 KB
Sampling_Monte_Carlo_010.png	28.5 KB
probability_001.png	28.4 KB
ProbabilityInequalities_003.png	27.8 KB
ProbabilityInequalities_004.png	27.7 KB
Conditional_expectation_MSE_Ex_005.png	26.4 KB
Conditional_expectation_MSE_Ex_006.png	26.0 KB
ProbabilityInequalities_001.png	20.4 KB
Sampling_Monte_Carlo_000.png	13.2 KB
Sampling_Monte_Carlo_0001.png	5.4 KB
/extras_unpingco/chapters/probability/notebooks/src-probability/
ProbabilityInequalities.ipynb	149.2 KB
Sampling_Monte_Carlo.ipynb	34.6 KB
Brzexample.ipynb	30.9 KB
MomentGeneratingFunction.ipynb	11.4 KB
/extras_unpingco/chapters/probability/notebooks/
Sampling_Monte_Carlo.ipynb	378.3 KB
Conditional_expectation_MSE.ipynb	78.8 KB
intro.ipynb	62.4 KB
Conditional_expectation_MSE_Ex.ipynb	52.2 KB
Conditional_Expectation_Projection.ipynb	23.5 KB
Information_Entropy.ipynb	16.4 KB
ProbabilityInequalities.ipynb	11.7 KB
projection.ipynb	11.4 KB
moment_generating.ipynb	11.2 KB
README.md	0.9 KB
/.../src-python_quick/
concurrent_demo.py	0.4 KB
multiprocessing_demo.py	0.4 KB
pandas_ex.py	0.1 KB
/extras_unpingco/chapters/python_quick/notebooks/
python_quick.ipynb	130.8 KB
README.md	0.9 KB
/extras_unpingco/chapters/statistics/notebooks/fig-statistics/
Confidence_Intervals_001.png	151.2 KB
nonparametric_003.png	74.9 KB
Gauss_Markov_001.png	72.3 KB
nonparametric_001.png	64.6 KB
Hypothesis_Testing_003.png	57.0 KB
nonparametric_004.png	54.7 KB
nonparametric_005.png	54.6 KB
Convergence_001.png	54.0 KB
nonparametric_006.png	49.0 KB
Maximum_likelihood_10_2.png	43.6 KB
nonparametric_002.png	42.1 KB
MAP_001.png	38.3 KB
MAP_002.png	38.2 KB
Gauss_Markov_002.png	35.3 KB
Robust_Statistics_0001.png	35.2 KB
Hypothesis_Testing_004.png	34.8 KB
Bootstrap_001.png	33.0 KB
Regression_007.png	30.9 KB
Regression_002.png	27.7 KB
Maximum_likelihood_20_2.png	26.9 KB
Maximum_likelihood_0001.png	25.1 KB
Convergence_002.png	24.1 KB
Regression_006.png	23.1 KB
Robust_Statistics_0002.png	22.9 KB
Hypothesis_Testing_002.png	22.8 KB
Regression_001.png	22.1 KB
Regression_005.png	19.0 KB
Bootstrap_002.png	18.8 KB
Maximum_likelihood_30_2.png	18.4 KB
MAP_003.png	16.0 KB
Hypothesis_Testing_001.png	14.5 KB
/extras_unpingco/chapters/statistics/notebooks/src-statistics/
Nonparametric.ipynb	296.9 KB
MAP_coin_flip.ipynb	122.7 KB
Curse_of_dimensionality.ipynb	74.2 KB
Hypothesis_Testing.ipynb	71.0 KB
DeltaMethod.ipynb	54.0 KB
Convergence.ipynb	52.6 KB
Bootstrap.ipynb	45.4 KB
/extras_unpingco/chapters/statistics/notebooks/
Nonparametric.ipynb	280.3 KB
maximum_posteriori.ipynb	119.2 KB
Gauss_Markov.ipynb	106.5 KB
Maximum_likelihood.ipynb	93.4 KB
Regression.ipynb	89.1 KB
Hypothesis_Testing.ipynb	84.7 KB
Bootstrap.ipynb	56.9 KB
Convergence.ipynb	26.7 KB
Robust_Statistics.ipynb	24.8 KB
Confidence_Intervals.ipynb	13.6 KB
python_statistics_modules.ipynb	11.0 KB
kernel_regression.pyc	3.8 KB
kernel_regression.py	3.4 KB
intro.ipynb	2.4 KB
README.md	0.9 KB
/extras_unpingco/chapters/
conda_packages.txt	0.2 KB
/
Unpingco J. - Python for Probability, Statistics, and Machine Learning - 2016.pdf	7.5 MB
Total files 159