FreeCourseWeb com Oreilly Machine Learning Engineering in Action Video Edition

FreeCourseWeb com Oreilly Machine Learning Engineering in Action Video Edition

Name	[ FreeCourseWeb.com ] Oreilly - Machine Learning Engineering in Action, Video Edition	DOWNLOAD Copy Link
Total Size	2.5 GB
Total Files	83
Last Seen	2024-07-05 23:55
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Appendix_A._Analyzing_decision-tree_complexity.mp4	21.0 MB
Appendix_A._Big_O(no)_and_how_to_think_about_runtime_performance.mp4	23.2 MB
Appendix_A._Complexity_by_example.mp4	35.8 MB
Appendix_A._General_algorithmic_complexity_for_ML.mp4	19.1 MB
Appendix_B._Containers_to_deal_with_dependency_hell.mp4	9.1 MB
Appendix_B._Setting_up_a_development_environment (1).mp4	7.9 MB
Appendix_B._Setting_up_a_development_environment.mp4	7.5 MB
Bonus Resources.txt	0.4 KB
Chapter_1._Summary.mp4	2.2 MB
Chapter_1._The_core_tenets_of_ML_engineering.mp4	64.8 MB
Chapter_1._The_goals_of_ML_engineering.mp4	6.8 MB
Chapter_1._What_is_a_machine_learning_engineer.mp4	26.0 MB
Chapter_1.__Hello,_World!__and_printing.mp4.jpg	95.5 KB
Chapter_10._1Naming,_structure,_and_code_architecture.mp4	27.5 MB
Chapter_10._Blind_to_issues_Eating_exceptions_and_other_bad_practices.mp4	22.3 MB
Chapter_10._Excessively_nested_logic.mp4	33.1 MB
Chapter_10._Standards_of_coding_and_creating_maintainable_ML_code.mp4	12.7 MB
Chapter_10._Summary.mp4	5.1 MB
Chapter_10._Tuple_unpacking_and_maintainable_alternatives.mp4	14.9 MB
Chapter_10._Use_of_global_mutable_objects.mp4	22.7 MB
Chapter_11._Leveraging_AB_testing_for_attribution_calculations.mp4	61.4 MB
Chapter_11._Model_measurement_and_why_it_s_so_important.mp4	55.4 MB
Chapter_11._Summary.mp4	1.5 MB
Chapter_12._Holding_on_to_your_gains_by_watching_for_drift.mp4	71.1 MB
Chapter_12._Responding_to_drift.mp4	27.2 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	20.4 MB
Chapter_13._ML_development_hubris.mp4	57.5 MB
Chapter_13._Premature_generalization,_premature_optimization,_and_other_bad_ways_to_show_how_smart_you_are.mp4	53.2 MB
Chapter_13._Summary.mp4	5.2 MB
Chapter_13._Technology-driven_development_vs._solution-driven_development.mp4	13.5 MB
Chapter_13._Unintentional_obfuscation_Could_you_read_this_if_you_didn_t_write_it.mp4	78.6 MB
Chapter_14._Avoiding_cargo_cult_ML_behavior.mp4	29.3 MB
Chapter_14._Keeping_things_as_simple_as_possible.mp4	22.0 MB
Chapter_14._Monitoring_everything_else_in_the_model_life_cycle.mp4	17.2 MB
Chapter_14._Monitoring_your_features.mp4	22.7 MB
Chapter_14._Summary.mp4	6.5 MB
Chapter_14._Writing_production_code.mp4	75.6 MB
Chapter_14.__Wireframing_ML_projects.mp4	28.6 MB
Chapter_15._End_user_vs._internal_use_testing.mp4	30.7 MB
Chapter_15._Fallbacks_and_cold_starts.mp4	38.0 MB
Chapter_15._Model_interpretability.mp4	43.7 MB
Chapter_15._Quality_and_acceptance_testing.mp4	43.0 MB
Chapter_15._Summary.mp4	4.4 MB
Chapter_16._Feature_stores.mp4	35.0 MB
Chapter_16._Prediction_serving_architecture.mp4	83.5 MB
Chapter_16._Production_infrastructure.mp4	36.4 MB
Chapter_16._Summary.mp4	2.6 MB
Chapter_2._Co-opting_principles_of_Agile_software_engineering.mp4	18.3 MB
Chapter_2._Summary.mp4	3.5 MB
Chapter_2._The_foundation_of_ML_engineering.mp4	4.1 MB
Chapter_2._Your_data_science_could_use_some_engineering.mp4	11.4 MB
Chapter_2.__A_foundation_of_simplicity.mp4	12.1 MB
Chapter_3._Before_you_model_Planning_and_scoping_a_project.mp4	116.0 MB
Chapter_3._Summary.mp4	1.4 MB
Chapter_3.__Experimental_scoping_Setting_expectations_and_boundaries.mp4	84.8 MB
Chapter_4._Before_you_model_Communication_and_logistics_of_projects.mp4	138.1 MB
Chapter_4._Don_t_waste_our_time_Meeting_with_cross-functional_teams.mp4	55.3 MB
Chapter_4._Planning_for_business_rules_chaos.mp4	20.9 MB
Chapter_4._Setting_limits_on_your_experimentation.mp4	49.8 MB
Chapter_4._Summary.mp4	4.7 MB
Chapter_4._Talking_about_results.mp4	17.7 MB
Chapter_5._Experimentation_in_action_Planning_and_researching_an_ML_project.mp4	76.8 MB
Chapter_5._Performing_experimental_prep_work.mp4	80.0 MB
Chapter_5._Summary.mp4	1.8 MB
Chapter_6._Experimentation_in_action_Testing_and_evaluating_a_project.mp4	136.5 MB
Chapter_6._Summary.mp4	1.4 MB
Chapter_6._Whittling_down_the_possibilities.mp4	36.6 MB
Chapter_7._Choosing_the_right_tech_for_the_platform_and_the_team.mp4	56.2 MB
Chapter_7._Experimentation_in_action_Moving_from_prototype_to_MVP.mp4	67.4 MB
Chapter_7._Summary.mp4	1.8 MB
Chapter_8._Experimentation_in_action_Finalizing_an_MVP_with_MLflow_and_runtime_optimization.mp4	48.3 MB
Chapter_8._Scalability_and_concurrency.mp4	19.7 MB
Chapter_8._Summary.mp4	1.7 MB
Chapter_9._Debugging_walls_of_text.mp4	11.3 MB
Chapter_9._Designing_modular_ML_code.mp4	16.2 MB
Chapter_9._Modularity_for_ML_Writing_testable_and_legible_code.mp4	50.2 MB
Chapter_9._Summary.mp4	2.7 MB
Chapter_9._Using_test-driven_development_for_ML.mp4	20.7 MB
Part_1._An_introduction_to_machine_learning_engineering.mp4	5.0 MB
Part_2._Preparing_for_production_Creating_maintainable_ML.mp4	4.2 MB
Part_3._Developing_production_machine_learning_code.mp4	2.4 MB
Total files 83