|
RAR-files |
| packt.machine.learning.a-z.support.vector.machine.with.python-xqzt.rar |
650,000,000 |
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| packt.machine.learning.a-z.support.vector.machine.with.python-xqzt.r01 |
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| Total size: |
7,078,240,714 |
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| Archived
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01.01-introduction_to_course.mkv
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01.02-why_machine_learning.mkv
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01.03-why_support_vector_machine.mkv
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01.04-course_overview.mkv
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02.01-introduction_to_machine_learning_learning_process_and_supervised_learning.mkv
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02.02-unsupervised_learning_and_reinforcement_learning.mkv
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02.03-history_and_future_of_machine_learning.mkv
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02.04-dataset_label_and_features.mkv
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02.05-training_data_testing_data_and_outliers.mkv
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02.06-model.mkv
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02.07-model_(difference_between_classification_and_regression).mkv
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02.08-model_(function_parameters_hyperparameters).mkv
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02.09-training_a_model_cost_error_loss_risk_and_accuracy.mkv
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119,701,130 |
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02.10-optimization.mkv
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89,799,481 |
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02.11-overfitting_underfitting_just_right_optimum_(part_1).mkv
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02.12-overfitting_underfitting_just_right_optimum_(part_2).mkv
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02.13-validation_and_cross_validation_generalization_data_snooping_validation_set.mkv
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02.14-probability_distributions_and_curse_of_dimensionality.mkv
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02.15-small_sample_size_problems_one_shot_learning.mkv
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02.16-importance_of_data_in_machine_learning_data_encoding_and_preprocessing.mkv
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164,892,763 |
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02.17-general_flow_of_a_typical_machine_learning_project.mkv
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55,196,218 |
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03.01-introduction_to_python.mkv
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24,203,153 |
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03.02-introduction_to_ide_hello_world.mkv
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03.03-introduction_to_data_type_numbers.mkv
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03.04-variable_and_operators_(numbers).mkv
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60,733,408 |
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03.05-variables_and_operators_(rational_operators_and_functions).mkv
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95,029,500 |
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03.06-variables_and_operators_(string).mkv
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67,839,940 |
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03.07-variables_and_operators_(string_and_print_statement).mkv
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70,370,151 |
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03.08-lists_(indexing_slicing_built-in_lists_in_functions).mkv
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220,644,023 |
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03.09-lists_(copying_a_list).mkv
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41,229,110 |
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03.10-tuples_(indexing_slicing_built-in_tuple_functions).mkv
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37,861,463 |
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03.11-set_(initialize_built-in_set_functions).mkv
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44,055,714 |
A1722532 |
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03.12-dictionary.mkv
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36,042,610 |
72934F72 |
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03.13-logical_operator_decision_making_for_loops_while_loops_functions.mkv
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52,187,380 |
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03.14-logical_operator_decision_making_for_loops_while_loops_list_comprehension.mkv
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113,376,332 |
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03.15-functions.mkv
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70,392,833 |
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03.16-calculator_project.mkv
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158,648,221 |
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04.01-introduction_to_svm.mkv
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36,845,805 |
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04.02-linear_discriminants.mkv
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04.03-linear_discriminants_higher_spaces.mkv
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04.04-linear_discriminants_decision_boundary.mkv
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85,229,188 |
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04.05-generalized_linear_model.mkv
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128,732,240 |
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04.06-feature_transformation.mkv
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144,523,139 |
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04.07-max_margin_linear_discriminant.mkv
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04.08-hard_margin_versus_soft_margin.mkv
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84,067,198 |
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04.09-confidence.mkv
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105,920,188 |
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04.10-multiclass_extension.mkv
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171,500,283 |
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04.11-svm_versus_logistic_regression_sparsity.mkv
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172,656,797 |
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04.12-svm_optimization.mkv
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129,950,877 |
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04.13-svm_langrangian_dual.mkv
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136,449,656 |
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04.14-kernels.mkv
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04.15-python_packages_and_the_titanic_dataset.mkv
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96,022,834 |
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04.16-using_numpy_pandas_and_matplotlib_(part_1).mkv
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04.17-using_numpy_pandas_and_matplotlib_(part_2).mkv
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04.18-using_numpy_pandas_and_matplotlib_(part_3).mkv
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04.19-using_numpy_pandas_and_matplotlib_(part_4).mkv
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04.20-using_numpy_pandas_and_matplotlib_(part_5).mkv
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04.21-using_numpy_pandas_and_matplotlib_(part_6).mkv
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04.22-dataset_preprocessing.mkv
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04.23-svm_with_sklearn.mkv
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04.24-svm_without_sklearn_(part_1).mkv
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04.25-svm_without_sklearn_(part_2).mkv
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05.01-optional_svm_optimization_(part_1).mkv
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05.02-optional_svm_optimization_(part_2).mkv
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05.03-optional_svm_optimization_(part_3).mkv
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05.04-optional_svm_optimization_(part_4).mkv
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05.05-optional_svm_optimization_(part_5).mkv
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05.06-optional_svm_optimization_(part_6).mkv
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133,858,461 |
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9781801071833_Code.zip |
382,220 |
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| Total size: |
7,078,233,796 |
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