Oreilly - Machine Learning Engineering In Action, Video Edition

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Oreilly - Machine Learning Engineering in Action, Video EditionOreilly - Machine Learning Engineering in Action, Video Edition

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Oreilly - Machine Learning Engineering in Action, Video Edition.torrent
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[ FreeCourseWeb.com ] Machine Learning Engineering in Action, Video Edition



If You Need More Stuff, kindly Visit and Support Us -->> https://FreeCourseWeb.com







Released 4/2022

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English | Duration: 14h 54m | Size: 2.34 GB



Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from In Machine Learning Engineering in Action, you will learn



Evaluating data science problems to find the most effective solution

Scoping a machine learning project for usage expectations and budget

Process techniques that minimize wasted effort and speed up production

Assessing a project using standardized prototyping work and statistical validation

Choosing the right technologies and tools for your project

Making your codebase more understandable, maintainable, and testable

Automating your troubleshooting and logging practices



Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you’ll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks.



If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com



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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/Appendix_A._Analyzing_decision-tree_complexity.mp420 MB
~Get Your Files Here !/Appendix_A._Big_O(no)_and_how_to_think_about_runtime_performance.mp422.2 MB
~Get Your Files Here !/Appendix_A._Complexity_by_example.mp434.2 MB
~Get Your Files Here !/Appendix_A._General_algorithmic_complexity_for_ML.mp418.2 MB
~Get Your Files Here !/Appendix_B._Containers_to_deal_with_dependency_hell.mp48.7 MB
~Get Your Files Here !/Appendix_B._Setting_up_a_development_environment (1).mp47.5 MB
~Get Your Files Here !/Appendix_B._Setting_up_a_development_environment.mp47.1 MB
~Get Your Files Here !/Bonus Resources.txt386 B
~Get Your Files Here !/Chapter_1._Summary.mp42.1 MB
~Get Your Files Here !/Chapter_1._The_core_tenets_of_ML_engineering.mp461.8 MB
~Get Your Files Here !/Chapter_1._The_goals_of_ML_engineering.mp46.5 MB
~Get Your Files Here !/Chapter_1._What_is_a_machine_learning_engineer.mp424.8 MB
~Get Your Files Here !/Chapter_1.__Hello,_World!__and_printing.mp4.jpg93.3 KB
~Get Your Files Here !/Chapter_10._1Naming,_structure,_and_code_architecture.mp426.3 MB
~Get Your Files Here !/Chapter_10._Blind_to_issues_Eating_exceptions_and_other_bad_practices.mp421.3 MB
~Get Your Files Here !/Chapter_10._Excessively_nested_logic.mp431.6 MB
~Get Your Files Here !/Chapter_10._Standards_of_coding_and_creating_maintainable_ML_code.mp412.1 MB
~Get Your Files Here !/Chapter_10._Summary.mp44.9 MB
~Get Your Files Here !/Chapter_10._Tuple_unpacking_and_maintainable_alternatives.mp414.2 MB
~Get Your Files Here !/Chapter_10._Use_of_global_mutable_objects.mp421.7 MB
~Get Your Files Here !/Chapter_11._Leveraging_AB_testing_for_attribution_calculations.mp458.6 MB
~Get Your Files Here !/Chapter_11._Model_measurement_and_why_it_s_so_important.mp452.8 MB
~Get Your Files Here !/Chapter_11._Summary.mp41.4 MB
~Get Your Files Here !/Chapter_12._Holding_on_to_your_gains_by_watching_for_drift.mp467.8 MB
~Get Your Files Here !/Chapter_12._Responding_to_drift.mp425.9 MB
~Get Your Files Here !/Chapter_12._Summary.mp41.3 MB
~Get Your Files Here !/Chapter_13._Do_you_really_want_to_be_the_canary_Alpha_testing_and_the_dangers_of_the_open_source_coal_mine.mp419.4 MB
~Get Your Files Here !/Chapter_13._ML_development_hubris.mp454.8 MB
~Get Your Files Here !/Chapter_13._Premature_generalization,_premature_optimization,_and_other_bad_ways_to_show_how_smart_you_are.mp450.7 MB
~Get Your Files Here !/Chapter_13._Summary.mp45 MB
~Get Your Files Here !/Chapter_13._Technology-driven_development_vs._solution-driven_development.mp412.8 MB
~Get Your Files Here !/Chapter_13._Unintentional_obfuscation_Could_you_read_this_if_you_didn_t_write_it.mp474.9 MB
~Get Your Files Here !/Chapter_14._Avoiding_cargo_cult_ML_behavior.mp428 MB
~Get Your Files Here !/Chapter_14._Keeping_things_as_simple_as_possible.mp420.9 MB
~Get Your Files Here !/Chapter_14._Monitoring_everything_else_in_the_model_life_cycle.mp416.4 MB
~Get Your Files Here !/Chapter_14._Monitoring_your_features.mp421.6 MB
~Get Your Files Here !/Chapter_14._Summary.mp46.2 MB
~Get Your Files Here !/Chapter_14._Writing_production_code.mp472.1 MB
~Get Your Files Here !/Chapter_14.__Wireframing_ML_projects.mp427.3 MB
~Get Your Files Here !/Chapter_15._End_user_vs._internal_use_testing.mp429.3 MB
~Get Your Files Here !/Chapter_15._Fallbacks_and_cold_starts.mp436.2 MB
~Get Your Files Here !/Chapter_15._Model_interpretability.mp441.7 MB
~Get Your Files Here !/Chapter_15._Quality_and_acceptance_testing.mp441 MB
~Get Your Files Here !/Chapter_15._Summary.mp44.2 MB
~Get Your Files Here !/Chapter_16._Feature_stores.mp433.4 MB
~Get Your Files Here !/Chapter_16._Prediction_serving_architecture.mp479.7 MB
~Get Your Files Here !/Chapter_16._Production_infrastructure.mp434.7 MB
~Get Your Files Here !/Chapter_16._Summary.mp42.5 MB
~Get Your Files Here !/Chapter_2._Co-opting_principles_of_Agile_software_engineering.mp417.5 MB
~Get Your Files Here !/Chapter_2._Summary.mp43.4 MB
~Get Your Files Here !/Chapter_2._The_foundation_of_ML_engineering.mp43.9 MB
~Get Your Files Here !/Chapter_2._Your_data_science_could_use_some_engineering.mp410.8 MB
~Get Your Files Here !/Chapter_2.__A_foundation_of_simplicity.mp411.5 MB
~Get Your Files Here !/Chapter_3._Before_you_model_Planning_and_scoping_a_project.mp4110.6 MB
~Get Your Files Here !/Chapter_3._Summary.mp41.3 MB
~Get Your Files Here !/Chapter_3.__Experimental_scoping_Setting_expectations_and_boundaries.mp480.9 MB
~Get Your Files Here !/Chapter_4._Before_you_model_Communication_and_logistics_of_projects.mp4131.7 MB
~Get Your Files Here !/Chapter_4._Don_t_waste_our_time_Meeting_with_cross-functional_teams.mp452.7 MB
~Get Your Files Here !/Chapter_4._Planning_for_business_rules_chaos.mp419.9 MB
~Get Your Files Here !/Chapter_4._Setting_limits_on_your_experimentation.mp447.5 MB
~Get Your Files Here !/Chapter_4._Summary.mp44.5 MB
~Get Your Files Here !/Chapter_4._Talking_about_results.mp416.9 MB
~Get Your Files Here !/Chapter_5._Experimentation_in_action_Planning_and_researching_an_ML_project.mp473.2 MB
~Get Your Files Here !/Chapter_5._Performing_experimental_prep_work.mp476.3 MB
~Get Your Files Here !/Chapter_5._Summary.mp41.7 MB
~Get Your Files Here !/Chapter_6._Experimentation_in_action_Testing_and_evaluating_a_project.mp4130.2 MB
~Get Your Files Here !/Chapter_6._Summary.mp41.3 MB
~Get Your Files Here !/Chapter_6._Whittling_down_the_possibilities.mp434.9 MB
~Get Your Files Here !/Chapter_7._Choosing_the_right_tech_for_the_platform_and_the_team.mp453.6 MB
~Get Your Files Here !/Chapter_7._Experimentation_in_action_Moving_from_prototype_to_MVP.mp464.3 MB
~Get Your Files Here !/Chapter_7._Summary.mp41.7 MB
~Get Your Files Here !/Chapter_8._Experimentation_in_action_Finalizing_an_MVP_with_MLflow_and_runtime_optimization.mp446.1 MB
~Get Your Files Here !/Chapter_8._Scalability_and_concurrency.mp418.8 MB
~Get Your Files Here !/Chapter_8._Summary.mp41.6 MB
~Get Your Files Here !/Chapter_9._Debugging_walls_of_text.mp410.8 MB
~Get Your Files Here !/Chapter_9._Designing_modular_ML_code.mp415.4 MB
~Get Your Files Here !/Chapter_9._Modularity_for_ML_Writing_testable_and_legible_code.mp447.9 MB
~Get Your Files Here !/Chapter_9._Summary.mp42.6 MB
~Get Your Files Here !/Chapter_9._Using_test-driven_development_for_ML.mp419.7 MB
~Get Your Files Here !/Part_1._An_introduction_to_machine_learning_engineering.mp44.7 MB
~Get Your Files Here !/Part_2._Preparing_for_production_Creating_maintainable_ML.mp44 MB
~Get Your Files Here !/Part_3._Developing_production_machine_learning_code.mp42.3 MB

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