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28-applying_entropy-coding_decision_trees_for_machine_learning.mkv

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28-applying_entropy-coding_decision_trees_for_machine_learning.mkv
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27-entropy-the_most_important_application_of_expected_values.mkv
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29-foundations_of_bayesian_inference_.mkv
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26-expected_values-decision_making_through_probabilities.mkv
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30-bayesian_inference_code_through_pymc3_.mkv
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25-dependence_and_variance_of_two_random_variables_.mkv
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24-visualizing_joint_distributions-the_road_to_ml_success_.mkv
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23-case_study-sleep_analysis_structure_and_code_.mkv
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22-continuous_distributions_code_.mkv
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21-continuous_distributions-probability_densities_.mkv
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20-discrete_distributions_through_code_.mkv
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19-distributions-rationale_and_importance_.mkv
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18-two_random_variables-joint_probabilities_.mkv
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17-quantifying_events-random_variables_.mkv
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16-rules_for_counting_(mostly_optional).mkv
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13-applying_conditional_probability-bayes_rule_.mkv
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12-conditional_probability_the_most_important_concept_in_stats.mkv
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11-simulating_coin_flips_for_probability.mkv
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