|
RAR-files |
| packt.mastering.probability.and.statistics.in.python-xqzt.rar |
650,000,000 |
3101EC7F |
| packt.mastering.probability.and.statistics.in.python-xqzt.r00 |
650,000,000 |
C90C86BF |
| packt.mastering.probability.and.statistics.in.python-xqzt.r01 |
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05DE90B5 |
| packt.mastering.probability.and.statistics.in.python-xqzt.r02 |
650,000,000 |
03DBD01C |
| packt.mastering.probability.and.statistics.in.python-xqzt.r03 |
650,000,000 |
F366A32C |
| packt.mastering.probability.and.statistics.in.python-xqzt.r04 |
650,000,000 |
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| packt.mastering.probability.and.statistics.in.python-xqzt.r05 |
650,000,000 |
0FB5EE59 |
| packt.mastering.probability.and.statistics.in.python-xqzt.r06 |
650,000,000 |
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| packt.mastering.probability.and.statistics.in.python-xqzt.r07 |
650,000,000 |
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| packt.mastering.probability.and.statistics.in.python-xqzt.r08 |
650,000,000 |
280CC7F2 |
| packt.mastering.probability.and.statistics.in.python-xqzt.r09 |
16,524,967 |
60BFBFCE |
|
| Total size: |
6,516,524,967 |
|
|
| Archived
files |
|
01.01-introduction_to_the_instructor.mkv
[9a03bdf096c6d048]
|
95,592,740 |
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|
01.02-focus_of_the_course.mkv
[9fbfe3fb833137d3]
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70,097,915 |
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|
02.01-probability_versus_statistics.mkv
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55,895,811 |
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|
03.01-definition_of_set.mkv
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|
03.02-cardinality_of_a_set.mkv
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03.03-subsets_power_set_and_universal_set.mkv
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54,621,403 |
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03.04-python_practice_subsets.mkv
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62,982,110 |
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03.05-power_sets_solution.mkv
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124,317,026 |
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03.06-operations.mkv
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|
92,001,092 |
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03.07-python_practice_operations.mkv
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57,873,453 |
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|
03.08-venn_diagrams_operations.mkv
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|
53,171,400 |
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|
03.09-homework.mkv
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40,053,509 |
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04.01-random_experiment.mkv
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51,041,364 |
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04.02-outcome_and_sample_space.mkv
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82,279,393 |
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|
04.03-event.mkv
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84,757,739 |
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|
04.04-recap_and_homework.mkv
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|
47,211,265 |
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05.01-probability_model.mkv
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|
78,685,186 |
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05.02-probability_axioms.mkv
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101,643,270 |
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05.03-probability_axioms_derivations.mkv
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05.04-probability_models_example.mkv
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05.05-more_examples_of_probability_models.mkv
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05.06-probability_models_continuous.mkv
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58,293,057 |
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05.07-conditional_probability.mkv
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104,988,362 |
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|
05.08-conditional_probability_example.mkv
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|
110,514,728 |
893D8412 |
|
05.09-conditional_probability_formula.mkv
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72,868,023 |
1FA3C058 |
|
05.10-conditional_probability_in_machine_learning.mkv
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|
194,238,365 |
E5DE3577 |
|
05.11-conditional_probability_total_probability_theorem.mkv
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75,989,681 |
C285E5FE |
|
05.12-probability_models_independence.mkv
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|
58,961,257 |
F2B62500 |
|
05.13-probability_models_conditional_independence.mkv
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|
62,373,039 |
670EE765 |
|
05.14-probability_models_bayes_rule.mkv
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|
50,075,314 |
FC063063 |
|
05.15-probability_models_towards_random_variables.mkv
[4e855adfa8115c65]
|
115,065,529 |
DE217CD5 |
|
05.16-homework.mkv
[375d2b53ef4451e2]
|
11,508,787 |
CC109A6B |
|
06.01-introduction.mkv
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|
78,427,759 |
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|
06.02-random_variables_examples.mkv
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75,198,883 |
5AB1F1EC |
|
06.03-bernoulli_random_variables.mkv
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|
106,061,773 |
0C6F3C0E |
|
06.04-bernoulli_trail_python_practice.mkv
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|
114,855,375 |
7E61EEE2 |
|
06.05-geometric_random_variable.mkv
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|
85,282,144 |
1DC8068E |
|
06.06-geometric_random_variable_normalization_proof_optional.mkv
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|
61,687,162 |
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06.07-geometric_random_variable_python_practice.mkv
[9b6bf9fc3be1d97]
|
133,424,144 |
DAED2C5B |
|
06.08-binomial_random_variables.mkv
[da0544eb4a4bd083]
|
62,475,645 |
B6E15652 |
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06.09-binomial_python_practice.mkv
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|
91,573,530 |
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06.10-random_variables_in_real_datasets.mkv
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|
236,892,316 |
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06.11-homework.mkv
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|
14,003,503 |
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|
07.01-zero_probability_to_individual_values.mkv
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|
66,219,807 |
A089342A |
|
07.02-probability_density_functions.mkv
[c1ce87b67fdda03]
|
112,561,061 |
35A2DECC |
|
07.03-uniform_distribution.mkv
[c06cc92d2e8d3662]
|
48,873,230 |
3DE0E70D |
|
07.04-uniform_distribution_python.mkv
[89fe4bd21329698d]
|
42,616,709 |
A3A7E691 |
|
07.05-exponential.mkv
[5a4bebd13b10377f]
|
31,838,658 |
F9E863E6 |
|
07.06-exponential_python.mkv
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|
68,619,055 |
ED1F9C42 |
|
07.07-gaussian_random_variables.mkv
[c57ea7e8c8594516]
|
63,348,071 |
22A78C16 |
|
07.08-gaussian_python.mkv
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214,062,446 |
D62F51D5 |
|
07.09-transformation_of_random_variables.mkv
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|
127,824,844 |
34B8DF77 |
|
07.10-homework.mkv
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|
8,045,582 |
848BFFD9 |
|
08.01-definition.mkv
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|
41,152,704 |
1D93F6BC |
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08.02-sample_mean.mkv
[a2b75fed051659c9]
|
80,442,560 |
8512507C |
|
08.03-law_of_large_numbers.mkv
[1aa87961cebba8d0]
|
108,856,810 |
7D86282F |
|
08.04-law_of_large_numbers_famous_distributions.mkv
[cae20ede4fd60d2]
|
108,912,733 |
38AA1490 |
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08.05-law_of_large_numbers_famous_distributions_python.mkv
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173,673,740 |
8F900A80 |
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08.06-variance.mkv
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94,863,831 |
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08.07-homework.mkv
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11,620,274 |
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09.01-project_bayes_classifier_from_scratch.mkv
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|
494,091,628 |
2460025C |
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10.01-joint_distributions.mkv
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88,062,149 |
67D67FAF |
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10.02-multivariate_gaussian.mkv
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59,893,514 |
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10.03-conditioning_independence.mkv
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44,304,294 |
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10.04-classification.mkv
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45,512,788 |
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10.05-naive_bayes_classification.mkv
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31,859,014 |
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10.06-regression.mkv
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36,556,348 |
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10.07-curse_of_dimensionality.mkv
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52,283,587 |
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10.08-homework.mkv
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|
11,443,766 |
DF258E5A |
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11.01-parametric_distributions.mkv
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48,137,040 |
660F49EB |
|
11.02-maximum_likelihood_estimate_(mle).mkv
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48,377,216 |
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11.03-log_likelihood.mkv
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68,345,831 |
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11.04-logistic_regression.mkv
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35,960,218 |
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11.05-ridge_regression.mkv
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92,980,145 |
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11.06-deep_neural_network_(dnn).mkv
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53,677,726 |
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12.01-permutations.mkv
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66,067,813 |
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12.02-combinations.mkv
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|
95,772,585 |
2979B2E7 |
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12.03-binomial_random_variable.mkv
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|
49,686,744 |
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12.04-logistic_regression_formulation.mkv
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|
70,026,074 |
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|
12.05-logistic_regression_derivation.mkv
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|
155,017,750 |
15F9BF16 |
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| Total size: |
6,516,518,123 |
|
|
