FileMood

Download [ FreeCourseWeb.com ] Coursera - Machine Learning Engineering for Production (MLOps) Specialization

FreeCourseWeb com Coursera Machine Learning Engineering for Production MLOps Specialization

Name

[ FreeCourseWeb.com ] Coursera - Machine Learning Engineering for Production (MLOps) Specialization

 DOWNLOAD Copy Link

Total Size

2.1 GB

Total Files

702

Last Seen

2024-11-19 23:57

Hash

3BFE5A7239C61503FF9CFFECFD0C99DECAA7BBBF

/

Get Bonus Downloads Here.url

0.2 KB

/~Get Your Files Here !/

Bonus Resources.txt

0.4 KB

/.../01_a-conversation-with-andrew-ng-robert-crowe-and-laurence-moroney/

01_course-overview.en.srt

6.6 KB

01_course-overview.en.txt

4.2 KB

01_course-overview.mp4

20.3 MB

/.../02_introduction-to-model-serving/

01_introduction-to-model-serving.en.srt

11.4 KB

01_introduction-to-model-serving.en.txt

5.9 KB

01_introduction-to-model-serving.mp4

11.4 MB

02_ungraded-labs-best-practices_instructions.html

2.5 KB

03_ungraded-lab-introduction-to-docker_C4_W1_Lab_1_Docker_Intro.md

174.8 KB

03_ungraded-lab-introduction-to-docker_instructions.html

1.7 KB

/.../03_introduction-to-model-serving-infrastructure/

01_introduction-to-model-serving-infrastructure.en.srt

8.4 KB

01_introduction-to-model-serving-infrastructure.en.txt

5.4 KB

01_introduction-to-model-serving-infrastructure.mp4

8.7 MB

02_deployment-options.en.srt

7.1 KB

02_deployment-options.en.txt

3.8 KB

02_deployment-options.mp4

5.5 MB

03_improving-prediction-latency-and-reducing-resource-costs.en.srt

9.6 KB

03_improving-prediction-latency-and-reducing-resource-costs.en.txt

5.1 KB

03_improving-prediction-latency-and-reducing-resource-costs.mp4

8.4 MB

04_creating-and-deploying-models-to-ai-prediction-platform.en.srt

4.2 KB

04_creating-and-deploying-models-to-ai-prediction-platform.en.txt

2.7 KB

04_creating-and-deploying-models-to-ai-prediction-platform.mp4

6.9 MB

05_optional-build-train-and-deploy-an-xgboost-model-on-cloud-ai-platform_C4_W1_Optional_Lab_1.md

196.5 KB

05_optional-build-train-and-deploy-an-xgboost-model-on-cloud-ai-platform_instructions.html

2.3 KB

/.../04_installing-tensorflow-serving/

01_installing-tensorflow-serving.en.srt

11.6 KB

01_installing-tensorflow-serving.en.txt

6.1 KB

01_installing-tensorflow-serving.mp4

10.1 MB

02_ungraded-lab-tensorflow-serving-with-docker_C4_W1_Lab_2_TFS_Docker.md

180.2 KB

02_ungraded-lab-tensorflow-serving-with-docker_instructions.html

1.3 KB

03_ungraded-lab-serve-a-model-with-tensorflow-serving_C4_W1_Lab_3_TFS.ipynb

76.5 KB

03_ungraded-lab-serve-a-model-with-tensorflow-serving_instructions.html

1.3 KB

/.../01_model-serving-architecture/

01_model-serving-architecture.en.srt

7.0 KB

01_model-serving-architecture.en.txt

4.5 KB

01_model-serving-architecture.mp4

9.5 MB

02_model-servers-tensorflow-serving.en.srt

5.7 KB

02_model-servers-tensorflow-serving.en.txt

3.7 KB

02_model-servers-tensorflow-serving.mp4

6.7 MB

03_model-servers-other-providers.en.srt

9.8 KB

03_model-servers-other-providers.en.txt

5.2 KB

03_model-servers-other-providers.mp4

12.5 MB

04_documentation-on-model-servers_instructions.html

1.7 KB

05_ungraded-lab-deploy-a-ml-model-with-fastapi-and-docker_README.md

164.0 KB

05_ungraded-lab-deploy-a-ml-model-with-fastapi-and-docker_instructions.html

1.4 KB

/.../02_scaling-infrastructure/

01_scaling-infrastructure.en.srt

19.2 KB

01_scaling-infrastructure.en.txt

10.2 KB

01_scaling-infrastructure.mp4

26.2 MB

02_learn-about-scaling-with-boy-bands_instructions.html

2.6 KB

03_explore-kubernetes-and-kubeflow_instructions.html

143.1 KB

/.../03_online-inference/

01_online-inference.en.srt

9.7 KB

01_online-inference.en.txt

6.3 KB

01_online-inference.mp4

13.5 MB

02_ungraded-lab-latency-testing-with-docker-compose-and-locust_README.md

187.5 KB

02_ungraded-lab-latency-testing-with-docker-compose-and-locust_instructions.html

1.3 KB

/.../04_data-preprocessing/

01_data-preprocessing.en.srt

6.7 KB

01_data-preprocessing.en.txt

4.4 KB

01_data-preprocessing.mp4

9.9 MB

02_data-preprocessing_instructions.html

2.5 KB

/.../05_batch-inference-scenarios/

01_batch-inference-scenarios.en.srt

10.2 KB

01_batch-inference-scenarios.en.txt

5.4 KB

01_batch-inference-scenarios.mp4

9.5 MB

/.../06_batch-processing-with-etl/

01_batch-processing-with-etl.en.srt

5.7 KB

01_batch-processing-with-etl.en.txt

3.0 KB

01_batch-processing-with-etl.mp4

7.7 MB

02_ungraded-lab-optional-machine-learning-with-apache-beam-and-tensorflow_C4_W2_Lab_4_Apache_Beam_and_Tensorflow.ipynb

76.6 KB

02_ungraded-lab-optional-machine-learning-with-apache-beam-and-tensorflow_instructions.html

1.7 KB

/.../01_ml-experiments-management-and-workflow-automation/

01_experiment-tracking.en.srt

13.6 KB

01_experiment-tracking.en.txt

7.2 KB

01_experiment-tracking.mp4

15.5 MB

02_tools-for-experiment-tracking.en.srt

10.1 KB

02_tools-for-experiment-tracking.en.txt

6.4 KB

02_tools-for-experiment-tracking.mp4

12.2 MB

03_experiment-tracking_instructions.html

1.5 KB

04_introduction-to-mlops.en.srt

13.4 KB

04_introduction-to-mlops.en.txt

8.7 KB

04_introduction-to-mlops.mp4

16.5 MB

/.../02_mlops-methodology/

01_mlops-level-0.en.srt

8.5 KB

01_mlops-level-0.en.txt

4.5 KB

01_mlops-level-0.mp4

8.3 MB

02_mlops-levels-1-2.en.srt

16.9 KB

02_mlops-levels-1-2.en.txt

10.8 KB

02_mlops-levels-1-2.mp4

28.1 MB

03_mlops-resources_instructions.html

1.3 KB

04_ungraded-lab-intro-to-kubeflow-pipelines_C4_W3_Lab_1_Kubeflow_Pipelines.ipynb

76.6 KB

04_ungraded-lab-intro-to-kubeflow-pipelines_instructions.html

1.8 KB

05_developing-components-for-an-orchestrated-workflow.en.srt

17.2 KB

05_developing-components-for-an-orchestrated-workflow.en.txt

11.1 KB

05_developing-components-for-an-orchestrated-workflow.mp4

20.3 MB

06_architecture-for-mlops-using-tfx-kubeflow-pipelines-and-cloud-build_instructions.html

1.2 KB

/.../03_model-management-and-deployment-infrastructure/

01_managing-model-versions.en.srt

11.5 KB

01_managing-model-versions.en.txt

6.1 KB

01_managing-model-versions.mp4

11.4 MB

02_ungraded-lab-model-versioning-with-tf-serving_README.md

180.7 KB

02_ungraded-lab-model-versioning-with-tf-serving_instructions.html

1.4 KB

03_ml-model-management_instructions.html

1.1 KB

04_continuous-delivery.en.srt

9.5 KB

04_continuous-delivery.en.txt

6.0 KB

04_continuous-delivery.mp4

11.5 MB

05_ungraded-lab-ci-cd-pipelines-with-github-actions_README.md

203.5 KB

05_ungraded-lab-ci-cd-pipelines-with-github-actions_instructions.html

1.4 KB

06_continuous-delivery_instructions.html

1.1 KB

07_progressive-delivery.en.srt

12.3 KB

07_progressive-delivery.en.txt

6.4 KB

07_progressive-delivery.mp4

13.2 MB

08_progressive-delivery_instructions.html

1.2 KB

/.../01_model-monitoring-and-logging/

01_why-monitoring-matters.en.srt

8.3 KB

01_why-monitoring-matters.en.txt

5.4 KB

01_why-monitoring-matters.mp4

12.4 MB

02_observability-in-ml.en.srt

7.6 KB

02_observability-in-ml.en.txt

4.0 KB

02_observability-in-ml.mp4

7.1 MB

03_monitoring-targets-in-ml.en.srt

5.6 KB

03_monitoring-targets-in-ml.en.txt

3.7 KB

03_monitoring-targets-in-ml.mp4

6.2 MB

04_logging-for-ml-monitoring.en.srt

9.4 KB

04_logging-for-ml-monitoring.en.txt

6.0 KB

04_logging-for-ml-monitoring.mp4

10.4 MB

05_tracing-for-ml-systems.en.srt

4.0 KB

05_tracing-for-ml-systems.en.txt

2.6 KB

05_tracing-for-ml-systems.mp4

4.5 MB

06_monitoring-machine-learning-models-in-production_instructions.html

1.1 KB

/.../02_model-decay/

01_what-is-model-decay.en.srt

5.4 KB

01_what-is-model-decay.en.txt

2.8 KB

01_what-is-model-decay.mp4

5.3 MB

02_model-decay-detection.en.srt

4.0 KB

02_model-decay-detection.en.txt

2.0 KB

02_model-decay-detection.mp4

4.0 MB

03_ways-to-mitigate-model-decay.en.srt

9.1 KB

03_ways-to-mitigate-model-decay.en.txt

4.7 KB

03_ways-to-mitigate-model-decay.mp4

9.0 MB

04_addressing-model-decay_instructions.html

1.2 KB

/.../03_gdpr-and-privacy/

01_responsible-ai.en.srt

6.3 KB

01_responsible-ai.en.txt

4.1 KB

01_responsible-ai.mp4

7.8 MB

02_responsible-ai_instructions.html

1.3 KB

03_legal-requirements-for-secure-and-private-ai.en.srt

14.1 KB

03_legal-requirements-for-secure-and-private-ai.en.txt

7.4 KB

03_legal-requirements-for-secure-and-private-ai.mp4

15.5 MB

04_gdpr-and-ccpa_instructions.html

1.2 KB

05_anonymization-and-pseudonymisation.en.srt

4.6 KB

05_anonymization-and-pseudonymisation.en.txt

2.9 KB

05_anonymization-and-pseudonymisation.mp4

6.1 MB

06_right-to-be-forgotten.en.srt

12.8 KB

06_right-to-be-forgotten.en.txt

6.8 KB

06_right-to-be-forgotten.mp4

15.8 MB

/.../04_specialization-recap-and-farewell/

01_specialization-recap-and-farewell.en.srt

1.5 KB

01_specialization-recap-and-farewell.en.txt

1.0 KB

01_specialization-recap-and-farewell.mp4

5.9 MB

/.../05_course-resources/

01_course-4-optional-references_1704.04861

46.0 KB

01_course-4-optional-references_36356.pdf

1.6 MB

01_course-4-optional-references_86df7dcfd896fcaf2674f757a2463eba-Paper.pdf

165.6 KB

01_course-4-optional-references_BlueGreenDeployment.html

15.6 KB

01_course-4-optional-references_custom_component.md

180.2 KB

01_course-4-optional-references_install.html

13.5 KB

01_course-4-optional-references_instructions.html

11.1 KB

/.../04_week-4-model-monitoring-and-logging/06_acknowledgments/

01_acknowledgements_instructions.html

3.5 KB

02_optional-opportunity-to-mentor-other-learners_instructions.html

1.7 KB

/.../01_a-conversation-with-andrew-ng-robert-crowe-and-laurence-moroney/

01_specialization-overview.en.srt

11.3 KB

01_specialization-overview.en.txt

6.0 KB

01_specialization-overview.mp4

41.9 MB

/.../02_the-machine-learning-project-lifecycle/

01_welcome.en.srt

13.9 KB

01_welcome.en.txt

8.8 KB

01_welcome.mp4

21.3 MB

02_steps-of-an-ml-project.en.srt

6.6 KB

02_steps-of-an-ml-project.en.txt

3.5 KB

02_steps-of-an-ml-project.mp4

9.5 MB

03_case-study-speech-recognition.en.srt

16.1 KB

03_case-study-speech-recognition.en.txt

10.2 KB

03_case-study-speech-recognition.mp4

25.5 MB

04_course-outline.en.srt

4.8 KB

04_course-outline.en.txt

2.5 KB

04_course-outline.mp4

6.8 MB

/.../01_week-1-overview-of-the-ml-lifecycle-and-deployment/03_deployment/

01_key-challenges.en.srt

23.5 KB

01_key-challenges.en.txt

12.3 KB

01_key-challenges.mp4

26.9 MB

02_the-machine-learning-project-lifecycle_exam.html

4.8 KB

03_deployment-patterns.en.srt

16.8 KB

03_deployment-patterns.en.txt

10.9 KB

03_deployment-patterns.mp4

21.0 MB

04_monitoring.en.srt

17.6 KB

04_monitoring.en.txt

9.4 KB

04_monitoring.mp4

19.1 MB

05_pipeline-monitoring.en.srt

13.2 KB

05_pipeline-monitoring.en.txt

8.4 KB

05_pipeline-monitoring.mp4

17.0 MB

06_week-1-optional-references_2010.02013

50.5 KB

06_week-1-optional-references_2011.09926

47.5 KB

06_week-1-optional-references_86df7dcfd896fcaf2674f757a2463eba-Paper.pdf

165.6 KB

06_week-1-optional-references_instructions.html

2.7 KB

/.../04_graded-assessment/

01_deployment_exam.html

6.0 KB

/.../05_ungraded-lab/

01_ungraded-lab-deploying-a-deep-learning-model-local-setup_instructions.html

2.3 KB

/.../01_selecting-and-training-a-model/

01_modeling-overview.en.srt

4.8 KB

01_modeling-overview.en.txt

2.5 KB

01_modeling-overview.mp4

9.9 MB

02_key-challenges.en.srt

6.8 KB

02_key-challenges.en.txt

4.5 KB

02_key-challenges.mp4

9.4 MB

03_why-low-average-error-isn-t-good-enough.en.srt

17.2 KB

03_why-low-average-error-isn-t-good-enough.en.txt

9.1 KB

03_why-low-average-error-isn-t-good-enough.mp4

18.9 MB

04_establish-a-baseline.en.srt

13.0 KB

04_establish-a-baseline.en.txt

6.9 KB

04_establish-a-baseline.mp4

16.8 MB

05_tips-for-getting-started.en.srt

10.6 KB

05_tips-for-getting-started.en.txt

5.6 KB

05_tips-for-getting-started.mp4

11.6 MB

06_selecting-and-training-a-model_exam.html

5.1 KB

/.../02_error-analysis-and-performance-auditing/

01_error-analysis-example.en.srt

11.5 KB

01_error-analysis-example.en.txt

7.3 KB

01_error-analysis-example.mp4

14.4 MB

02_prioritizing-what-to-work-on.en.srt

9.1 KB

02_prioritizing-what-to-work-on.en.txt

4.9 KB

02_prioritizing-what-to-work-on.mp4

10.7 MB

03_skewed-datasets.en.srt

16.9 KB

03_skewed-datasets.en.txt

9.0 KB

03_skewed-datasets.mp4

21.1 MB

04_performance-auditing.en.srt

10.4 KB

04_performance-auditing.en.txt

6.7 KB

04_performance-auditing.mp4

16.5 MB

/.../03_data-iteration/

01_data-centric-ai-development.en.srt

4.1 KB

01_data-centric-ai-development.en.txt

2.2 KB

01_data-centric-ai-development.mp4

7.9 MB

02_a-useful-picture-of-data-augmentation.en.srt

7.5 KB

02_a-useful-picture-of-data-augmentation.en.txt

4.8 KB

02_a-useful-picture-of-data-augmentation.mp4

11.9 MB

03_data-augmentation.en.srt

14.4 KB

03_data-augmentation.en.txt

7.5 KB

03_data-augmentation.mp4

16.8 MB

04_can-adding-data-hurt.en.srt

7.4 KB

04_can-adding-data-hurt.en.txt

4.8 KB

04_can-adding-data-hurt.mp4

15.3 MB

05_adding-features.en.srt

11.6 KB

05_adding-features.en.txt

7.6 KB

05_adding-features.mp4

19.0 MB

06_experiment-tracking.en.srt

7.6 KB

06_experiment-tracking.en.txt

4.0 KB

06_experiment-tracking.mp4

9.3 MB

07_from-big-data-to-good-data.en.srt

4.4 KB

07_from-big-data-to-good-data.en.txt

2.8 KB

07_from-big-data-to-good-data.mp4

8.9 MB

08_week-2-optional-references_1912.02292

46.5 KB

08_week-2-optional-references_2004.07213v2

54.6 KB

08_week-2-optional-references_instructions.html

2.3 KB

/.../04_graded-assessment/

01_modeling-challenges_exam.html

6.5 KB

/.../01_define-data-and-establish-baseline/

01_why-is-data-definition-hard.en.srt

7.5 KB

01_why-is-data-definition-hard.en.txt

4.0 KB

01_why-is-data-definition-hard.mp4

10.6 MB

02_more-label-ambiguity-examples.en.srt

13.1 KB

02_more-label-ambiguity-examples.en.txt

6.9 KB

02_more-label-ambiguity-examples.mp4

15.2 MB

03_major-types-of-data-problems.en.srt

14.7 KB

03_major-types-of-data-problems.en.txt

9.5 KB

03_major-types-of-data-problems.mp4

21.0 MB

04_small-data-and-label-consistency.en.srt

10.9 KB

04_small-data-and-label-consistency.en.txt

6.8 KB

04_small-data-and-label-consistency.mp4

16.0 MB

05_improving-label-consistency.en.srt

14.3 KB

05_improving-label-consistency.en.txt

7.7 KB

05_improving-label-consistency.mp4

16.8 MB

06_human-level-performance-hlp.en.srt

13.3 KB

06_human-level-performance-hlp.en.txt

8.4 KB

06_human-level-performance-hlp.mp4

19.4 MB

07_raising-hlp.en.srt

13.3 KB

07_raising-hlp.en.txt

7.1 KB

07_raising-hlp.mp4

22.9 MB

/.../02_label-and-organize-data/

01_obtaining-data.en.srt

19.1 KB

01_obtaining-data.en.txt

10.2 KB

01_obtaining-data.mp4

21.7 MB

02_data-pipeline.en.srt

8.8 KB

02_data-pipeline.en.txt

4.7 KB

02_data-pipeline.mp4

11.2 MB

03_meta-data-data-provenance-and-lineage.en.srt

14.7 KB

03_meta-data-data-provenance-and-lineage.en.txt

7.8 KB

03_meta-data-data-provenance-and-lineage.mp4

16.9 MB

04_balanced-train-dev-test-splits.en.srt

5.3 KB

04_balanced-train-dev-test-splits.en.txt

3.4 KB

04_balanced-train-dev-test-splits.mp4

11.3 MB

05_data-stage-of-the-ml-production-lifecycle_exam.html

843.5 KB

/.../03_scoping-optional/

01_what-is-scoping.en.srt

3.5 KB

01_what-is-scoping.en.txt

2.3 KB

01_what-is-scoping.mp4

8.5 MB

02_scoping-process.en.srt

9.1 KB

02_scoping-process.en.txt

5.9 KB

02_scoping-process.mp4

14.1 MB

03_diligence-on-feasibility-and-value.en.srt

22.8 KB

03_diligence-on-feasibility-and-value.en.txt

11.9 KB

03_diligence-on-feasibility-and-value.mp4

24.4 MB

04_diligence-on-value.en.srt

11.3 KB

04_diligence-on-value.en.txt

5.9 KB

04_diligence-on-value.mp4

13.8 MB

05_milestones-and-resourcing.en.srt

4.4 KB

05_milestones-and-resourcing.en.txt

2.3 KB

05_milestones-and-resourcing.mp4

5.0 MB

06_week-3-optional-references_1706.06969.pdf

5.6 MB

06_week-3-optional-references_DLDL.html

12.1 KB

06_week-3-optional-references_instructions.html

2.1 KB

07_scoping-optional_quiz.html

6.3 KB

/.../04_course-resources/

01_references_1706.06969.pdf

5.6 MB

01_references_1912.02292

46.5 KB

01_references_2004.07213v2

54.6 KB

01_references_2010.02013

50.5 KB

01_references_2011.09926

47.5 KB

01_references_86df7dcfd896fcaf2674f757a2463eba-Paper.pdf

165.6 KB

01_references_DLDL.html

12.1 KB

01_references_instructions.html

5.3 KB

/.../03_week-3-data-definition-and-baseline/05_acknowledgements/

01_acknowledgments_instructions.html

4.2 KB

/.../01_a-conversation-with-andrew-ng-robert-crowe-and-laurence-moroney/

01_specialization-overview.en.srt

11.5 KB

01_specialization-overview.en.txt

6.0 KB

01_specialization-overview.mp4

41.9 MB

02_course-overview.en.srt

3.9 KB

02_course-overview.en.txt

2.1 KB

02_course-overview.mp4

14.4 MB

/.../02_introduction-to-machine-learning-engineering-in-production/

01_overview.en.srt

16.3 KB

01_overview.en.txt

8.6 KB

01_overview.mp4

18.9 MB

02_ml-pipelines.en.srt

9.9 KB

02_ml-pipelines.en.txt

5.2 KB

02_ml-pipelines.mp4

10.7 MB

/.../03_collecting-data/

01_importance-of-data.en.srt

11.2 KB

01_importance-of-data.en.txt

7.2 KB

01_importance-of-data.mp4

13.2 MB

02_example-application-suggesting-runs.en.srt

13.0 KB

02_example-application-suggesting-runs.en.txt

6.8 KB

02_example-application-suggesting-runs.mp4

11.5 MB

03_responsible-data-security-privacy-fairness.en.srt

14.2 KB

03_responsible-data-security-privacy-fairness.en.txt

8.9 KB

03_responsible-data-security-privacy-fairness.mp4

15.5 MB

/.../04_labeling-data/

01_case-study-degraded-model-performance.en.srt

11.3 KB

01_case-study-degraded-model-performance.en.txt

6.9 KB

01_case-study-degraded-model-performance.mp4

15.7 MB

02_data-and-concept-change-in-production-ml.en.srt

8.7 KB

02_data-and-concept-change-in-production-ml.en.txt

4.7 KB

02_data-and-concept-change-in-production-ml.mp4

8.5 MB

03_process-feedback-and-human-labeling.en.srt

17.2 KB

03_process-feedback-and-human-labeling.en.txt

9.1 KB

03_process-feedback-and-human-labeling.mp4

15.3 MB

/.../05_validating-data/

01_detecting-data-issues.en.srt

10.8 KB

01_detecting-data-issues.en.txt

5.7 KB

01_detecting-data-issues.mp4

13.0 MB

02_tensorflow-data-validation.en.srt

8.9 KB

02_tensorflow-data-validation.en.txt

4.7 KB

02_tensorflow-data-validation.mp4

9.2 MB

03_week-1-optional-references_2010.02013

50.5 KB

03_week-1-optional-references_2011.09926

47.5 KB

03_week-1-optional-references_86df7dcfd896fcaf2674f757a2463eba-Paper.pdf

165.6 KB

03_week-1-optional-references_instructions.html

3.7 KB

03_week-1-optional-references_introducing-inclusive-images-competition.html

316.0 KB

04_optional-downloading-your-notebook-and-refreshing-your-workspace_instructions.html

3.8 KB

/.../01_week-1-collecting-labeling-and-validating-data/06_assignment/

01_partial-grading-for-assignments_instructions.html

103.8 KB

/.../01_feature-engineering/

01_introduction-to-preprocessing.en.srt

7.5 KB

01_introduction-to-preprocessing.en.txt

4.8 KB

01_introduction-to-preprocessing.mp4

10.5 MB

02_preprocessing-operations.en.srt

9.6 KB

02_preprocessing-operations.en.txt

5.0 KB

02_preprocessing-operations.mp4

12.4 MB

03_feature-engineering-techniques.en.srt

15.5 KB

03_feature-engineering-techniques.en.txt

8.1 KB

03_feature-engineering-techniques.mp4

21.3 MB

04_feature-crosses.en.srt

5.2 KB

04_feature-crosses.en.txt

2.7 KB

04_feature-crosses.mp4

5.5 MB

/.../02_feature-transformation-at-scale/

01_preprocessing-data-at-scale.en.srt

16.1 KB

01_preprocessing-data-at-scale.en.txt

10.1 KB

01_preprocessing-data-at-scale.mp4

18.5 MB

02_tensorflow-transform.en.srt

21.0 KB

02_tensorflow-transform.en.txt

11.0 KB

02_tensorflow-transform.mp4

18.4 MB

03_hello-world-with-tf-transform.en.srt

9.3 KB

03_hello-world-with-tf-transform.en.txt

5.8 KB

03_hello-world-with-tf-transform.mp4

10.9 MB

/.../03_feature-selection/

01_feature-spaces.en.srt

6.8 KB

01_feature-spaces.en.txt

4.1 KB

01_feature-spaces.mp4

6.6 MB

02_feature-selection.en.srt

5.9 KB

02_feature-selection.en.txt

3.7 KB

02_feature-selection.mp4

6.0 MB

03_filter-methods.en.srt

9.9 KB

03_filter-methods.en.txt

5.1 KB

03_filter-methods.mp4

8.4 MB

04_wrapper-methods.en.srt

8.0 KB

04_wrapper-methods.en.txt

4.3 KB

04_wrapper-methods.mp4

7.5 MB

05_embedded-methods.en.srt

7.3 KB

05_embedded-methods.en.txt

4.5 KB

05_embedded-methods.mp4

7.9 MB

06_week-2-optional-references_instructions.html

2.5 KB

06_week-2-optional-references_preprocessing-for-machine-learning-with.html

313.1 KB

06_week-2-optional-references_shampoo.csv

0.5 KB

/.../01_data-journey-and-data-storage/

01_data-journey.en.srt

9.8 KB

01_data-journey.en.txt

5.3 KB

01_data-journey.mp4

11.1 MB

02_introduction-to-ml-metadata.en.srt

10.5 KB

02_introduction-to-ml-metadata.en.txt

6.5 KB

02_introduction-to-ml-metadata.mp4

13.8 MB

03_ml-metadata-in-action.en.srt

7.1 KB

03_ml-metadata-in-action.en.txt

3.8 KB

03_ml-metadata-in-action.mp4

6.5 MB

/.../02_evolving-data/

01_schema-development.en.srt

7.3 KB

01_schema-development.en.txt

3.8 KB

01_schema-development.mp4

6.4 MB

02_schema-environments.en.srt

6.2 KB

02_schema-environments.en.txt

3.3 KB

02_schema-environments.mp4

5.3 MB

/.../03_enterprise-data-storage/

01_feature-stores.en.srt

8.7 KB

01_feature-stores.en.txt

5.4 KB

01_feature-stores.mp4

11.5 MB

02_data-warehouse.en.srt

5.6 KB

02_data-warehouse.en.txt

3.0 KB

02_data-warehouse.mp4

6.2 MB

03_data-lakes.en.srt

3.7 KB

03_data-lakes.en.txt

2.0 KB

03_data-lakes.mp4

5.0 MB

04_week-3-optional-references_instructions.html

3.3 KB

/.../01_advanced-labeling-optional/

01_semi-supervised-learning.en.srt

7.2 KB

01_semi-supervised-learning.en.txt

3.9 KB

01_semi-supervised-learning.mp4

6.8 MB

02_active-learning.en.srt

7.4 KB

02_active-learning.en.txt

3.9 KB

02_active-learning.mp4

6.3 MB

03_weak-supervision.en.srt

7.0 KB

03_weak-supervision.en.txt

4.5 KB

03_weak-supervision.mp4

7.3 MB

/.../02_data-augmentation-optional/

01_data-augmentation.en.srt

5.7 KB

01_data-augmentation.en.txt

3.7 KB

01_data-augmentation.mp4

6.5 MB

/.../03_preprocessing-different-data-types-optional/

01_time-series.en.srt

11.5 KB

01_time-series.en.txt

7.2 KB

01_time-series.mp4

13.3 MB

02_sensors-and-signals.en.srt

4.0 KB

02_sensors-and-signals.en.txt

2.6 KB

02_sensors-and-signals.mp4

4.6 MB

03_week-4-optional-references_1904.04717.pdf

626.2 KB

03_week-4-optional-references_cifar.html

20.2 KB

03_week-4-optional-references_dataset.php

27.3 KB

03_week-4-optional-references_improving-deep-learning-performance.html

317.8 KB

03_week-4-optional-references_instructions.html

2.9 KB

/.../04_course-resources/

01_course-2-optional-references_1904.04717.pdf

626.2 KB

01_course-2-optional-references_2010.02013

50.5 KB

01_course-2-optional-references_2011.09926

47.5 KB

01_course-2-optional-references_86df7dcfd896fcaf2674f757a2463eba-Paper.pdf

165.6 KB

01_course-2-optional-references_cifar.html

20.2 KB

01_course-2-optional-references_dataset.php

27.3 KB

01_course-2-optional-references_improving-deep-learning-performance.html

317.8 KB

01_course-2-optional-references_instructions.html

9.1 KB

01_course-2-optional-references_introducing-inclusive-images-competition.html

316.0 KB

01_course-2-optional-references_preprocessing-for-machine-learning-with.html

313.1 KB

/.../04_week-4-optional-advanced-labeling-augmentation-and-data-preprocessing/05_acknowledgements/

01_acknowledegements_instructions.html

5.0 KB

/.../01_a-conversation-with-andrew-ng-robert-crowe-and-laurence-moroney/

01_course-overview.en.srt

4.0 KB

01_course-overview.en.txt

2.2 KB

01_course-overview.mp4

11.0 MB

/.../02_hyperparameter-tuning-searching-for-the-best-architecture/

01_hyperparameter-tuning.en.srt

5.7 KB

01_hyperparameter-tuning.en.txt

3.0 KB

01_hyperparameter-tuning.mp4

6.9 MB

02_keras-autotuner-demo.en.srt

7.5 KB

02_keras-autotuner-demo.en.txt

4.6 KB

02_keras-autotuner-demo.mp4

9.5 MB

03_ungraded-lab-intro-to-keras-tuner_C3_W1_Lab_1_Keras_Tuner.ipynb

76.5 KB

03_ungraded-lab-intro-to-keras-tuner_instructions.html

2.0 KB

/.../01_week-1-neural-architecture-search/03_automl/

01_intro-to-automl.en.srt

7.4 KB

01_intro-to-automl.en.txt

4.7 KB

01_intro-to-automl.mp4

8.3 MB

02_understanding-search-spaces.en.srt

2.4 KB

02_understanding-search-spaces.en.txt

1.5 KB

02_understanding-search-spaces.mp4

2.8 MB

03_search-strategies.en.srt

6.1 KB

03_search-strategies.en.txt

3.9 KB

03_search-strategies.mp4

7.1 MB

04_neural-architecture-search_1603.01670

46.7 KB

04_neural-architecture-search_1611.01578.pdf

733.2 KB

04_neural-architecture-search_1712.00559.pdf

1.2 MB

04_neural-architecture-search_1808.05377.pdf

513.9 KB

04_neural-architecture-search_instructions.html

1.9 KB

05_measuring-automl-efficacy.en.srt

4.9 KB

05_measuring-automl-efficacy.en.txt

3.2 KB

05_measuring-automl-efficacy.mp4

5.6 MB

06_automl-on-the-cloud.en.srt

13.2 KB

06_automl-on-the-cloud.en.txt

7.0 KB

06_automl-on-the-cloud.mp4

12.4 MB

07_automl_instructions.html

1.6 KB

/.../04_assignment-classify-images-of-clouds-in-the-cloud-with-automl-vision/

01_assignment-setup.en.srt

2.1 KB

01_assignment-setup.en.txt

1.1 KB

01_assignment-setup.mp4

2.1 MB

02_week-1-wrap-up.en.srt

0.5 KB

02_week-1-wrap-up.en.txt

0.3 KB

02_week-1-wrap-up.mp4

1.3 MB

/.../01_dimensionality-reduction/

01_dimensionality-effect-on-performance.en.srt

10.2 KB

01_dimensionality-effect-on-performance.en.txt

6.6 KB

01_dimensionality-effect-on-performance.mp4

15.8 MB

02_curse-of-dimensionality.en.srt

12.9 KB

02_curse-of-dimensionality.en.txt

8.1 KB

02_curse-of-dimensionality.mp4

14.5 MB

03_curse-of-dimensionality-an-example.en.srt

5.7 KB

03_curse-of-dimensionality-an-example.en.txt

3.6 KB

03_curse-of-dimensionality-an-example.mp4

6.8 MB

04_manual-dimensionality-reduction.en.srt

7.2 KB

04_manual-dimensionality-reduction.en.txt

4.7 KB

04_manual-dimensionality-reduction.mp4

8.0 MB

05_manual-dimensionality-reduction-case-study.en.srt

9.1 KB

05_manual-dimensionality-reduction-case-study.en.txt

5.7 KB

05_manual-dimensionality-reduction-case-study.mp4

10.5 MB

06_ungraded-lab-manual-feature-engineering_C3_W2_Lab_1_Manual_Dimensionality.ipynb

76.5 KB

06_ungraded-lab-manual-feature-engineering_instructions.html

1.7 KB

07_algorithmic-dimensionality-reduction.en.srt

4.0 KB

07_algorithmic-dimensionality-reduction.en.txt

2.1 KB

07_algorithmic-dimensionality-reduction.mp4

3.6 MB

08_principal-components-analysis.en.srt

11.5 KB

08_principal-components-analysis.en.txt

6.0 KB

08_principal-components-analysis.mp4

13.4 MB

09_other-techniques.en.srt

9.1 KB

09_other-techniques.en.txt

5.8 KB

09_other-techniques.mp4

11.4 MB

10_dimensionality-reduction-techniques_1404.1100.pdf

386.5 KB

10_dimensionality-reduction-techniques_1404.2986.pdf

1.4 MB

10_dimensionality-reduction-techniques_instructions.html

1.6 KB

11_ungraded-lab-algorithmic-dimensionality-reduction_C3_W2_Lab_2_Algorithmic_Dimensionality.ipynb

76.6 KB

11_ungraded-lab-algorithmic-dimensionality-reduction_instructions.html

1.9 KB

/.../02_quantization-and-pruning/

01_mobile-iot-and-similar-use-cases.en.srt

12.2 KB

01_mobile-iot-and-similar-use-cases.en.txt

6.4 KB

01_mobile-iot-and-similar-use-cases.mp4

10.7 MB

02_benefits-and-process-of-quantization.en.srt

13.8 KB

02_benefits-and-process-of-quantization.en.txt

7.3 KB

02_benefits-and-process-of-quantization.mp4

14.3 MB

03_post-training-quantization.en.srt

7.9 KB

03_post-training-quantization.en.txt

4.2 KB

03_post-training-quantization.mp4

9.1 MB

04_quantization-aware-training.en.srt

6.9 KB

04_quantization-aware-training.en.txt

3.7 KB

04_quantization-aware-training.mp4

6.6 MB

05_quantization_1712.05877

47.1 KB

05_quantization_instructions.html

1.7 KB

06_pruning.en.srt

19.3 KB

06_pruning.en.txt

10.3 KB

06_pruning.mp4

21.4 MB

07_pruning_1803.03635

48.4 KB

07_pruning_instructions.html

1.4 KB

07_pruning_lecun-90b.pdf

120.7 KB

08_ungraded-lab-quantization-and-pruning_C3_W2_Lab_3_Quantization_and_Pruning.ipynb

76.5 KB

08_ungraded-lab-quantization-and-pruning_instructions.html

1.6 KB

/.../01_high-performance-modeling/

01_distributed-training.en.srt

14.2 KB

01_distributed-training.en.txt

8.8 KB

01_distributed-training.mp4

16.7 MB

02_ungraded-lab-distributed-strategies-with-tf-and-keras_C3_W3_Lab_1_Distributed_Training.ipynb

76.5 KB

02_ungraded-lab-distributed-strategies-with-tf-and-keras_instructions.html

1.7 KB

03_high-performance-ingestion.en.srt

18.8 KB

03_high-performance-ingestion.en.txt

10.0 KB

03_high-performance-ingestion.mp4

16.5 MB

04_training-large-models-the-rise-of-giant-neural-nets-and-parallelism.en.srt

21.1 KB

04_training-large-models-the-rise-of-giant-neural-nets-and-parallelism.en.txt

11.1 KB

04_training-large-models-the-rise-of-giant-neural-nets-and-parallelism.mp4

18.5 MB

05_high-performance-modeling_1806.03377

46.1 KB

05_high-performance-modeling_1811.06965

48.9 KB

05_high-performance-modeling_instructions.html

1.7 KB

05_high-performance-modeling_introducing-gpipe-open-source-library.html

321.3 KB

/.../02_knowledge-distillation/

01_teacher-and-student-networks.en.srt

5.0 KB

01_teacher-and-student-networks.en.txt

2.6 KB

01_teacher-and-student-networks.mp4

4.6 MB

02_knowledge-distillation-techniques.en.srt

13.9 KB

02_knowledge-distillation-techniques.en.txt

7.3 KB

02_knowledge-distillation-techniques.mp4

13.0 MB

03_ungraded-lab-knowledge-distillation_C3_W3_Lab_2_Knowledge_Distillation.ipynb

76.5 KB

03_ungraded-lab-knowledge-distillation_instructions.html

1.6 KB

04_case-study-how-to-distill-knowledge-for-a-q-a-task.en.srt

11.0 KB

04_case-study-how-to-distill-knowledge-for-a-q-a-task.en.txt

6.9 KB

04_case-study-how-to-distill-knowledge-for-a-q-a-task.mp4

14.5 MB

05_knowledge-distillation_1503.02531.pdf

106.6 KB

05_knowledge-distillation_1910.08381.pdf

634.0 KB

05_knowledge-distillation_instructions.html

1.4 KB

/.../01_model-analysis-overview/

01_model-performance-analysis.en.srt

12.2 KB

01_model-performance-analysis.en.txt

6.3 KB

01_model-performance-analysis.mp4

16.5 MB

02_tensorboard_instructions.html

1.3 KB

/.../02_advanced-model-analysis-and-debugging/

01_introduction-to-tensorflow-model-analysis.en.srt

9.9 KB

01_introduction-to-tensorflow-model-analysis.en.txt

5.3 KB

01_introduction-to-tensorflow-model-analysis.mp4

9.7 MB

02_tfma-in-practice.en.srt

5.9 KB

02_tfma-in-practice.en.txt

3.2 KB

02_tfma-in-practice.mp4

5.8 MB

03_tensorflow-model-analysis_instructions.html

1.5 KB

03_tensorflow-model-analysis_introducing-tensorflow-model-analysis.html

88.2 KB

04_model-debugging-overview.en.srt

5.0 KB

04_model-debugging-overview.en.txt

3.1 KB

04_model-debugging-overview.mp4

5.0 MB

05_benchmark-models.en.srt

2.1 KB

05_benchmark-models.en.txt

1.1 KB

05_benchmark-models.mp4

1.6 MB

06_sensitivity-analysis-and-adversarial-attacks.en.srt

12.7 KB

06_sensitivity-analysis-and-adversarial-attacks.en.txt

8.1 KB

06_sensitivity-analysis-and-adversarial-attacks.mp4

14.4 MB

07_adversarial-attack-demo.en.srt

5.0 KB

07_adversarial-attack-demo.en.txt

3.1 KB

07_adversarial-attack-demo.mp4

11.9 MB

08_sensitivity-analysis-and-adversarial-attacks_1412.6572

44.7 KB

08_sensitivity-analysis-and-adversarial-attacks_adversarial_fgsm.ipynb

76.5 KB

08_sensitivity-analysis-and-adversarial-attacks_instructions.html

1.8 KB

09_residual-analysis.en.srt

3.4 KB

09_residual-analysis.en.txt

2.2 KB

09_residual-analysis.mp4

3.2 MB

10_model-remediation.en.srt

6.2 KB

10_model-remediation.en.txt

4.0 KB

10_model-remediation.mp4

6.5 MB

11_fairness.en.srt

7.2 KB

11_fairness.en.txt

3.8 KB

11_fairness.mp4

5.5 MB

12_measuring-fairness.en.srt

9.4 KB

12_measuring-fairness.en.txt

4.9 KB

12_measuring-fairness.mp4

8.4 MB

13_model-remediation-and-fairness_1904.13341.pdf

1.2 MB

13_model-remediation-and-fairness_instructions.html

2.0 KB

/.../03_continuous-evaluation-and-monitoring/

01_continuous-evaluation-and-monitoring.en.srt

24.0 KB

01_continuous-evaluation-and-monitoring.en.txt

12.8 KB

01_continuous-evaluation-and-monitoring.mp4

24.7 MB

02_continuous-evaluation-and-monitoring_1704.00023.pdf

2.8 MB

02_continuous-evaluation-and-monitoring_instructions.html

2.3 KB

/.../01_explainable-ai/

01_explainable-ai.en.srt

10.0 KB

01_explainable-ai.en.txt

5.2 KB

01_explainable-ai.mp4

12.2 MB

02_explainable-ai_1910.10045.pdf

3.8 MB

02_explainable-ai_instructions.html

1.4 KB

/.../05_week-5-interpretability/02_interpretability/

01_model-interpretation-methods.en.srt

15.1 KB

01_model-interpretation-methods.en.txt

8.1 KB

01_model-interpretation-methods.mp4

13.6 MB

02_intrinsically-interpretable-models.en.srt

16.8 KB

02_intrinsically-interpretable-models.en.txt

8.9 KB

02_intrinsically-interpretable-models.mp4

15.5 MB

03_interpretability_15-243.pdf

3.4 MB

03_interpretability_instructions.html

1.7 KB

/.../03_understanding-model-predictions/

01_model-agnostic-methods.en.srt

2.5 KB

01_model-agnostic-methods.en.txt

1.6 KB

01_model-agnostic-methods.mp4

2.6 MB

02_partial-dependence-plots.en.srt

7.4 KB

02_partial-dependence-plots.en.txt

4.7 KB

02_partial-dependence-plots.mp4

7.8 MB

03_permutation-feature-importance.en.srt

5.2 KB

03_permutation-feature-importance.en.txt

2.8 KB

03_permutation-feature-importance.mp4

4.7 MB

04_permutation-feature-importance_1801.01489

47.4 KB

04_permutation-feature-importance_instructions.html

1.3 KB

05_ungraded-lab-permutation-feature-importance_C3_W5_Lab_2_Permutation_Importance.ipynb

76.5 KB

05_ungraded-lab-permutation-feature-importance_instructions.html

1.4 KB

06_shapley-values.en.srt

9.2 KB

06_shapley-values.en.txt

5.9 KB

06_shapley-values.mp4

10.7 MB

07_shapley-additive-explanations-shap.en.srt

4.3 KB

07_shapley-additive-explanations-shap.en.txt

2.8 KB

07_shapley-additive-explanations-shap.mp4

5.1 MB

08_ungraded-lab-shapley-values_C3_W5_Lab_1_Shap_Values.ipynb

76.5 KB

08_ungraded-lab-shapley-values_instructions.html

1.5 KB

09_understanding-model-predictions_1905.04610

49.4 KB

09_understanding-model-predictions_8a20a8621978632d76c43dfd28b67767-Paper.pdf

927.9 KB

09_understanding-model-predictions_instructions.html

1.6 KB

10_testing-concept-activation-vectors.en.srt

4.2 KB

10_testing-concept-activation-vectors.en.txt

2.7 KB

10_testing-concept-activation-vectors.mp4

5.8 MB

11_lime.en.srt

2.4 KB

11_lime.en.txt

1.2 KB

11_lime.mp4

2.2 MB

12_tcav-and-lime_1711.11279.pdf

6.3 MB

12_tcav-and-lime_instructions.html

1.4 KB

13_ai-explanations.en.srt

8.7 KB

13_ai-explanations.en.txt

4.6 KB

13_ai-explanations.mp4

10.9 MB

14_ai-explanations_AI_Explainability_Whitepaper.pdf

665.1 KB

14_ai-explanations_instructions.html

1.4 KB

/.../04_course-resources/

01_course-3-optional-references_1409.4842

45.7 KB

01_course-3-optional-references_1412.6572.pdf

1.0 MB

01_course-3-optional-references_15-243.pdf

3.4 MB

01_course-3-optional-references_1503.02531.pdf

106.6 KB

01_course-3-optional-references_1511.04508

48.4 KB

01_course-3-optional-references_1603.01670

46.7 KB

01_course-3-optional-references_1607.02533.pdf

6.4 MB

01_course-3-optional-references_1611.01578.pdf

733.2 KB

01_course-3-optional-references_1703.01365.pdf

3.4 MB

01_course-3-optional-references_1704.00023.pdf

2.8 MB

01_course-3-optional-references_1707.08945.pdf

2.3 MB

01_course-3-optional-references_1711.11279.pdf

6.3 MB

01_course-3-optional-references_1712.00559.pdf

1.2 MB

01_course-3-optional-references_1712.05877

47.1 KB

01_course-3-optional-references_1801.01489

47.4 KB

01_course-3-optional-references_1803.03635

48.4 KB

01_course-3-optional-references_1806.03377

46.1 KB

01_course-3-optional-references_1808.05377.pdf

513.9 KB

01_course-3-optional-references_1811.06965

48.9 KB

01_course-3-optional-references_1904.13341.pdf

1.2 MB

01_course-3-optional-references_1910.08381

46.7 KB

01_course-3-optional-references_1911.04252

48.6 KB

01_course-3-optional-references_2010.02013

50.5 KB

01_course-3-optional-references_2011.09926

47.5 KB

01_course-3-optional-references_AI_Explainability_Whitepaper.pdf

665.1 KB

01_course-3-optional-references_FPF_WarningSigns_Report.pdf

3.1 MB

01_course-3-optional-references_custom-on-device-ml-models.html

320.0 KB

01_course-3-optional-references_decomposition.html

108.9 KB

01_course-3-optional-references_gpipe.py

409.1 KB

01_course-3-optional-references_instructions.html

20.2 KB

01_course-3-optional-references_introducing-gpipe-open-source-library.html

321.3 KB

01_course-3-optional-references_introducing-tensorflow-model-analysis.html

88.2 KB

01_course-3-optional-references_lecun-90b.pdf

120.7 KB

01_course-3-optional-references_parsons.pdf

515.5 KB

01_course-3-optional-references_plot_ica_vs_pca.html

37.8 KB

01_course-3-optional-references_plot_partial_dependence.html

118.9 KB

01_course-3-optional-references_quantization-aware-training-with-tensorflow-model-optimization-toolkit.html

85.7 KB

01_course-3-optional-references_xai_survey_paper_2017.pdf

91.5 KB

/.../05_week-5-interpretability/05_acknowledgments/

01_acknowledgements_instructions.html

4.1 KB

 

Total files 702


Copyright © 2024 FileMood.com