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Files:
  1. Get Bonus Downloads Here.url 183 bytes
  2. Appendix_A._Analyzing_decision-tree_complexity.mp4 20.0 MB
  3. Appendix_A._Big_O(no)_and_how_to_think_about_runtime_performance.mp4 22.2 MB
  4. Appendix_A._Complexity_by_example.mp4 34.2 MB
  5. Appendix_A._General_algorithmic_complexity_for_ML.mp4 18.2 MB
  6. Appendix_B._Containers_to_deal_with_dependency_hell.mp4 8.7 MB
  7. Appendix_B._Setting_up_a_development_environment (1).mp4 7.5 MB
  8. Appendix_B._Setting_up_a_development_environment.mp4 7.1 MB
  9. Bonus Resources.txt 386 bytes
  10. Chapter_1._Summary.mp4 2.1 MB
  11. Chapter_1._The_core_tenets_of_ML_engineering.mp4 61.8 MB
  12. Chapter_1._The_goals_of_ML_engineering.mp4 6.5 MB
  13. Chapter_1._What_is_a_machine_learning_engineer.mp4 24.8 MB
  14. Chapter_1.__Hello,_World!__and_printing.mp4.jpg 93.3 KB
  15. Chapter_10._1Naming,_structure,_and_code_architecture.mp4 26.3 MB
  16. Chapter_10._Blind_to_issues_Eating_exceptions_and_other_bad_practices.mp4 21.3 MB
  17. Chapter_10._Excessively_nested_logic.mp4 31.6 MB
  18. Chapter_10._Standards_of_coding_and_creating_maintainable_ML_code.mp4 12.1 MB
  19. Chapter_10._Summary.mp4 4.9 MB
  20. Chapter_10._Tuple_unpacking_and_maintainable_alternatives.mp4 14.2 MB
  21. Chapter_10._Use_of_global_mutable_objects.mp4 21.7 MB
  22. Chapter_11._Leveraging_AB_testing_for_attribution_calculations.mp4 58.6 MB
  23. Chapter_11._Model_measurement_and_why_it_s_so_important.mp4 52.8 MB
  24. Chapter_11._Summary.mp4 1.4 MB
  25. Chapter_12._Holding_on_to_your_gains_by_watching_for_drift.mp4 67.8 MB
  26. Chapter_12._Responding_to_drift.mp4 25.9 MB
  27. Chapter_12._Summary.mp4 1.3 MB
  28. 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
  29. Chapter_13._ML_development_hubris.mp4 54.8 MB
  30. Chapter_13._Premature_generalization,_premature_optimization,_and_other_bad_ways_to_show_how_smart_you_are.mp4 50.7 MB
  31. Chapter_13._Summary.mp4 5.0 MB
  32. Chapter_13._Technology-driven_development_vs._solution-driven_development.mp4 12.8 MB
  33. Chapter_13._Unintentional_obfuscation_Could_you_read_this_if_you_didn_t_write_it.mp4 74.9 MB
  34. Chapter_14._Avoiding_cargo_cult_ML_behavior.mp4 28.0 MB
  35. Chapter_14._Keeping_things_as_simple_as_possible.mp4 20.9 MB
  36. Chapter_14._Monitoring_everything_else_in_the_model_life_cycle.mp4 16.4 MB
  37. Chapter_14._Monitoring_your_features.mp4 21.6 MB
  38. Chapter_14._Summary.mp4 6.2 MB
  39. Chapter_14._Writing_production_code.mp4 72.1 MB
  40. Chapter_14.__Wireframing_ML_projects.mp4 27.3 MB
  41. Chapter_15._End_user_vs._internal_use_testing.mp4 29.3 MB
  42. Chapter_15._Fallbacks_and_cold_starts.mp4 36.2 MB
  43. Chapter_15._Model_interpretability.mp4 41.7 MB
  44. Chapter_15._Quality_and_acceptance_testing.mp4 41.0 MB
  45. Chapter_15._Summary.mp4 4.2 MB
  46. Chapter_16._Feature_stores.mp4 33.4 MB
  47. Chapter_16._Prediction_serving_architecture.mp4 79.7 MB
  48. Chapter_16._Production_infrastructure.mp4 34.7 MB
  49. Chapter_16._Summary.mp4 2.5 MB
  50. Chapter_2._Co-opting_principles_of_Agile_software_engineering.mp4 17.5 MB
  51. Chapter_2._Summary.mp4 3.4 MB
  52. Chapter_2._The_foundation_of_ML_engineering.mp4 3.9 MB
  53. Chapter_2._Your_data_science_could_use_some_engineering.mp4 10.8 MB
  54. Chapter_2.__A_foundation_of_simplicity.mp4 11.5 MB
  55. Chapter_3._Before_you_model_Planning_and_scoping_a_project.mp4 110.6 MB
  56. Chapter_3._Summary.mp4 1.3 MB
  57. Chapter_3.__Experimental_scoping_Setting_expectations_and_boundaries.mp4 80.9 MB
  58. Chapter_4._Before_you_model_Communication_and_logistics_of_projects.mp4 131.7 MB
  59. Chapter_4._Don_t_waste_our_time_Meeting_with_cross-functional_teams.mp4 52.7 MB
  60. Chapter_4._Planning_for_business_rules_chaos.mp4 19.9 MB
  61. Chapter_4._Setting_limits_on_your_experimentation.mp4 47.5 MB
  62. Chapter_4._Summary.mp4 4.5 MB
  63. Chapter_4._Talking_about_results.mp4 16.9 MB
  64. Chapter_5._Experimentation_in_action_Planning_and_researching_an_ML_project.mp4 73.2 MB
  65. Chapter_5._Performing_experimental_prep_work.mp4 76.3 MB
  66. Chapter_5._Summary.mp4 1.7 MB
  67. Chapter_6._Experimentation_in_action_Testing_and_evaluating_a_project.mp4 130.2 MB
  68. Chapter_6._Summary.mp4 1.3 MB
  69. Chapter_6._Whittling_down_the_possibilities.mp4 34.9 MB
  70. Chapter_7._Choosing_the_right_tech_for_the_platform_and_the_team.mp4 53.6 MB
  71. Chapter_7._Experimentation_in_action_Moving_from_prototype_to_MVP.mp4 64.3 MB
  72. Chapter_7._Summary.mp4 1.7 MB
  73. Chapter_8._Experimentation_in_action_Finalizing_an_MVP_with_MLflow_and_runtime_optimization.mp4 46.1 MB
  74. Chapter_8._Scalability_and_concurrency.mp4 18.8 MB
  75. Chapter_8._Summary.mp4 1.6 MB
  76. Chapter_9._Debugging_walls_of_text.mp4 10.8 MB
  77. Chapter_9._Designing_modular_ML_code.mp4 15.4 MB
  78. Chapter_9._Modularity_for_ML_Writing_testable_and_legible_code.mp4 47.9 MB
  79. Chapter_9._Summary.mp4 2.6 MB
  80. Chapter_9._Using_test-driven_development_for_ML.mp4 19.7 MB
  81. Part_1._An_introduction_to_machine_learning_engineering.mp4 4.7 MB
  82. Part_2._Preparing_for_production_Creating_maintainable_ML.mp4 4.0 MB
  83. Part_3._Developing_production_machine_learning_code.mp4 2.3 MB

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