Oreilly - Machine Learning Engineering in Action, Video Edition

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• Appendix_A._Analyzing_decision-tree_complexity.mp4 (20.0 MB)
• Appendix_A._Big_O(no)_and_how_to_think_about_runtime_performance.mp4 (22.2 MB)
• Appendix_A._Complexity_by_example.mp4 (34.2 MB)
• Appendix_A._General_algorithmic_complexity_for_ML.mp4 (18.2 MB)
• Appendix_B._Containers_to_deal_with_dependency_hell.mp4 (8.7 MB)
• Appendix_B._Setting_up_a_development_environment (1).mp4 (7.5 MB)
• Appendix_B._Setting_up_a_development_environment.mp4 (7.1 MB)
• Bonus Resources.txt (0.4 KB)
• Chapter_1._Summary.mp4 (2.1 MB)
• Chapter_1._The_core_tenets_of_ML_engineering.mp4 (61.8 MB)
• Chapter_1._The_goals_of_ML_engineering.mp4 (6.5 MB)
• Chapter_1._What_is_a_machine_learning_engineer.mp4 (24.8 MB)
• Chapter_1.__Hello,_World!__and_printing.mp4.jpg (93.3 KB)
• Chapter_10._1Naming,_structure,_and_code_architecture.mp4 (26.3 MB)
• Chapter_10._Blind_to_issues_Eating_exceptions_and_other_bad_practices.mp4 (21.3 MB)
• Chapter_10._Excessively_nested_logic.mp4 (31.6 MB)
• Chapter_10._Standards_of_coding_and_creating_maintainable_ML_code.mp4 (12.1 MB)
• Chapter_10._Summary.mp4 (4.9 MB)
• Chapter_10._Tuple_unpacking_and_maintainable_alternatives.mp4 (14.2 MB)
• Chapter_10._Use_of_global_mutable_objects.mp4 (21.7 MB)
• Chapter_11._Leveraging_AB_testing_for_attribution_calculations.mp4 (58.6 MB)
• Chapter_11._Model_measurement_and_why_it_s_so_important.mp4 (52.8 MB)
• Chapter_11._Summary.mp4 (1.4 MB)
• Chapter_12._Holding_on_to_your_gains_by_watching_for_drift.mp4 (67.8 MB)
• Chapter_12._Responding_to_drift.mp4 (25.9 MB)
• Chapter_12._Summary.mp4 (1.3 MB)
• Chapter_13._Do_you_really_want_to_be_the_canary_Alpha_testing_and_the_dangers_of_the_open_source_coal_mine.mp4 (19.4 MB)
• Chapter_13._ML_development_hubris.mp4 (54.8 MB)
• Chapter_13._Premature_generalization,_premature_optimization,_and_other_bad_ways_to_show_how_smart_you_are.mp4 (50.7 MB)
• Chapter_13._Summary.mp4 (5.0 MB)
• Chapter_13._Technology-driven_development_vs._solution-driven_development.mp4 (12.8 MB)
• Chapter_13._Unintentional_obfuscation_Could_you_read_this_if_you_didn_t_write_it.mp4 (74.9 MB)
• Chapter_14._Avoiding_cargo_cult_ML_behavior.mp4 (28.0 MB)
• Chapter_14._Keeping_things_as_simple_as_possible.mp4 (20.9 MB)
• Chapter_14._Monitoring_everything_else_in_the_model_life_cycle.mp4 (16.4 MB)
• Chapter_14._Monitoring_your_features.mp4 (21.6 MB)
• Chapter_14._Summary.mp4 (6.2 MB)
• Chapter_14._Writing_production_code.mp4 (72.1 MB)
• Chapter_14.__Wireframing_ML_projects.mp4 (27.3 MB)
• Chapter_15._End_user_vs._internal_use_testing.mp4 (29.3 MB)
• Chapter_15._Fallbacks_and_cold_starts.mp4 (36.2 MB)
• Chapter_15._Model_interpretability.mp4 (41.7 MB)
• Chapter_15._Quality_and_acceptance_testing.mp4 (41.0 MB)
• Chapter_15._Summary.mp4 (4.2 MB)
• Chapter_16._Feature_stores.mp4 (33.4 MB)
• Chapter_16._Prediction_serving_architecture.mp4 (79.7 MB)
• Chapter_16._Production_infrastructure.mp4 (34.7 MB)
• Chapter_16._Summary.mp4 (2.5 MB)
• Chapter_2._Co-opting_principles_of_Agile_software_engineering.mp4 (17.5 MB)
• Chapter_2._Summary.mp4 (3.4 MB)
• Chapter_2._The_foundation_of_ML_engineering.mp4 (3.9 MB)
• Chapter_2._Your_data_science_could_use_some_engineering.mp4 (10.8 MB)
• Chapter_2.__A_foundation_of_simplicity.mp4 (11.5 MB)
• Chapter_3._Before_you_model_Planning_and_scoping_a_project.mp4 (110.6 MB)
• Chapter_3._Summary.mp4 (1.3 MB)
• Chapter_3.__Experimental_scoping_Setting_expectations_and_boundaries.mp4 (80.9 MB)
• Chapter_4._Before_you_model_Communication_and_logistics_of_projects.mp4 (131.7 MB)
• Chapter_4._Don_t_waste_our_time_Meeting_with_cross-functional_teams.mp4 (52.7 MB)
• Chapter_4._Planning_for_business_rules_chaos.mp4 (19.9 MB)
• Chapter_4._Setting_limits_on_your_experimentation.mp4 (47.5 MB)
• Chapter_4._Summary.mp4 (4.5 MB)
• Chapter_4._Talking_about_results.mp4 (16.9 MB)
• Chapter_5._Experimentation_in_action_Planning_and_researching_an_ML_project.mp4 (73.2 MB)
• Chapter_5._Performing_experimental_prep_work.mp4 (76.3 MB)
• Chapter_5._Summary.mp4 (1.7 MB)
• Chapter_6._Experimentation_in_action_Testing_and_evaluating_a_project.mp4 (130.2 MB)
• Chapter_6._Summary.mp4 (1.3 MB)
• Chapter_6._Whittling_down_the_possibilities.mp4 (34.9 MB)
• Chapter_7._Choosing_the_right_tech_for_the_platform_and_the_team.mp4 (53.6 MB)
• Chapter_7._Experimentation_in_action_Moving_from_prototype_to_MVP.mp4 (64.3 MB)
• Chapter_7._Summary.mp4 (1.7 MB)
• Chapter_8._Experimentation_in_action_Finalizing_an_MVP_with_MLflow_and_runtime_optimization.mp4 (46.1 MB)
• Chapter_8._Scalability_and_concurrency.mp4 (18.8 MB)
• Chapter_8._Summary.mp4 (1.6 MB)
• Chapter_9._Debugging_walls_of_text.mp4 (10.8 MB)
• Chapter_9._Designing_modular_ML_code.mp4 (15.4 MB)
• Chapter_9._Modularity_for_ML_Writing_testable_and_legible_code.mp4 (47.9 MB)
• Chapter_9._Summary.mp4 (2.6 MB)
• Chapter_9._Using_test-driven_development_for_ML.mp4 (19.7 MB)
• Part_1._An_introduction_to_machine_learning_engineering.mp4 (4.7 MB)
• Part_2._Preparing_for_production_Creating_maintainable_ML.mp4 (4.0 MB)
• Part_3._Developing_production_machine_learning_code.mp4 (2.3 MB)