[ DevCourseWeb.com ] Coursera - Practical Data Science on the AWS Cloud Specialization

Creation Time	July 6, 2024, 6:28 a.m.
Last Access Time	Nov. 22, 2024, 11:39 p.m.
File Size	1.5 GB
Keywords	Practical Specialization Data - Coursera AWS DevCourseWeb Science the on com Cloud
Total Requests	48
Total Files	332
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~Get Your Files Here !/automl-datasets-ml-models/05_Resources/01_sagemaker-studio-ui-resource/01__CD3O_Course_Feedback_V01_Final.mp4 135.1 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/04_Resources/01_learning-the-aws-cloud/01__CD3O_Course_Feedback_V01_Final.mp4 135.1 MB
~Get Your Files Here !/ml-pipelines-bert/04_Resources/01_learning-the-aws-cloud/01__CD3O_Course_Feedback_V01_Final.mp4 135.1 MB
~Get Your Files Here !/ml-pipelines-bert/03_week-3-deploy-end-to-end-machine-learning-pipelines/02_machine-learning-pipelines-with-amazon-sagemaker/01_machine-learning-pipelines-with-amazon-sagemaker-pipelines.mp4 38.1 MB
~Get Your Files Here !/automl-datasets-ml-models/01_week-1-explore-the-use-case-and-analyze-the-dataset/01_a-conversation-with-andrew-ng-antje-barth-shelbee-eigenbrode-and-sireesha/01_specialization-overview.mp4 34.1 MB
~Get Your Files Here !/automl-datasets-ml-models/03_week-3-use-automated-machine-learning-to-train-a-text-classifier/01_automated-machine-learning/07_amazon-sagemaker-autopilot-demo.mp4 30.1 MB
~Get Your Files Here !/automl-datasets-ml-models/03_week-3-use-automated-machine-learning-to-train-a-text-classifier/01_automated-machine-learning/03_automl-workflow.mp4 28.3 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/01_model-deployment-and-integration/04_amazon-sagemaker-hosting-real-time-inference.mp4 26.8 MB
~Get Your Files Here !/ml-pipelines-bert/03_week-3-deploy-end-to-end-machine-learning-pipelines/01_machine-learning-operations-mlops-and-pipelines/02_machine-learning-operations-mlops-overview.mp4 25.5 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/01_week-1-advanced-model-training-tuning-and-evaluation/02_advanced-model-training-and-tuning/03_tune-a-bert-based-text-classifier.mp4 22.7 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/01_week-1-advanced-model-training-tuning-and-evaluation/01_a-conversation-with-andrew-ng-antje-barth-shelbee-eigenbrode-and-sireesha/01_course-3-overview.mp4 22.4 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/02_model-integration-and-monitoring/04_week-2-summary.mp4 21.6 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/03_week-3-data-labeling-and-human-in-the-loop-pipelines/01_data-labeling/03_data-labeling-with-amazon-sagemaker-ground-truth.mp4 20.9 MB
~Get Your Files Here !/ml-pipelines-bert/03_week-3-deploy-end-to-end-machine-learning-pipelines/02_machine-learning-pipelines-with-amazon-sagemaker/04_week-3-summary.mp4 20.0 MB
~Get Your Files Here !/automl-datasets-ml-models/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/08_feature-importance-shap.mp4 19.4 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/01_model-deployment-and-integration/03_model-deployment-strategies.mp4 18.8 MB
~Get Your Files Here !/ml-pipelines-bert/03_week-3-deploy-end-to-end-machine-learning-pipelines/01_machine-learning-operations-mlops-and-pipelines/03_creating-machine-learning-pipelines.mp4 18.7 MB
~Get Your Files Here !/automl-datasets-ml-models/03_week-3-use-automated-machine-learning-to-train-a-text-classifier/01_automated-machine-learning/09_week-3-summary.mp4 18.7 MB
~Get Your Files Here !/automl-datasets-ml-models/04_week-4-built-in-algorithms/01_built-in-algorithms/01_introduction.mp4 18.5 MB
~Get Your Files Here !/automl-datasets-ml-models/04_week-4-built-in-algorithms/01_built-in-algorithms/03_use-cases-and-algorithms.mp4 18.1 MB
~Get Your Files Here !/automl-datasets-ml-models/01_week-1-explore-the-use-case-and-analyze-the-dataset/03_working-with-data/01_data-ingestion-and-exploration.mp4 17.8 MB
~Get Your Files Here !/ml-pipelines-bert/03_week-3-deploy-end-to-end-machine-learning-pipelines/01_machine-learning-operations-mlops-and-pipelines/01_week-3-outline.mp4 17.6 MB
~Get Your Files Here !/automl-datasets-ml-models/03_week-3-use-automated-machine-learning-to-train-a-text-classifier/01_automated-machine-learning/05_running-experiments-with-amazon-sagemaker-autopilot.mp4 16.5 MB
~Get Your Files Here !/automl-datasets-ml-models/04_week-4-built-in-algorithms/01_built-in-algorithms/07_week-4-summary.mp4 16.3 MB
~Get Your Files Here !/ml-pipelines-bert/02_week-2-train-debug-and-profile-a-machine-learning-model/01_training-of-a-custom-model/01_week-2-introduction.mp4 16.3 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/01_week-1-advanced-model-training-tuning-and-evaluation/02_advanced-model-training-and-tuning/02_advanced-model-training-and-tuning.mp4 16.1 MB
~Get Your Files Here !/ml-pipelines-bert/01_week-1-feature-engineering-and-feature-store/01_a-conversation-with-andrew-ng-antje-barth-shelbee-eigenbrode-and-sireesha/01_course-2-overview.mp4 15.8 MB
~Get Your Files Here !/automl-datasets-ml-models/04_week-4-built-in-algorithms/01_built-in-algorithms/04_text-analysis.mp4 15.5 MB
~Get Your Files Here !/automl-datasets-ml-models/01_week-1-explore-the-use-case-and-analyze-the-dataset/02_introduction-to-practical-data-science/02_practical-data-science.mp4 15.2 MB
~Get Your Files Here !/automl-datasets-ml-models/01_week-1-explore-the-use-case-and-analyze-the-dataset/02_introduction-to-practical-data-science/01_welcome.mp4 15.0 MB
~Get Your Files Here !/ml-pipelines-bert/02_week-2-train-debug-and-profile-a-machine-learning-model/02_training-of-a-custom-model-with-amazon-sagemaker/01_train-a-custom-model-with-amazon-sagemaker.mp4 14.8 MB
~Get Your Files Here !/ml-pipelines-bert/02_week-2-train-debug-and-profile-a-machine-learning-model/01_training-of-a-custom-model/03_pre-trained-models.mp4 14.5 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/01_week-1-advanced-model-training-tuning-and-evaluation/02_advanced-model-training-and-tuning/01_week-1-outline.mp4 14.4 MB
~Get Your Files Here !/ml-pipelines-bert/02_week-2-train-debug-and-profile-a-machine-learning-model/02_training-of-a-custom-model-with-amazon-sagemaker/03_debug-and-profile-models-with-amazon-sagemaker-debugger.mp4 14.3 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/03_week-3-data-labeling-and-human-in-the-loop-pipelines/02_human-in-the-loop-pipelines/02_human-in-the-loop-pipelines-with-amazon-augmented-ai-amazon-a2i.mp4 14.0 MB
~Get Your Files Here !/ml-pipelines-bert/02_week-2-train-debug-and-profile-a-machine-learning-model/02_training-of-a-custom-model-with-amazon-sagemaker/04_week-2-summary.mp4 13.7 MB
~Get Your Files Here !/ml-pipelines-bert/01_week-1-feature-engineering-and-feature-store/03_bert-and-feature-engineering-at-scale/03_feature-engineering-at-scale-with-amazon-sagemaker-processing-jobs.mp4 13.4 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/03_week-3-data-labeling-and-human-in-the-loop-pipelines/01_data-labeling/02_data-labeling.mp4 13.3 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/01_model-deployment-and-integration/02_model-deployment-overview.mp4 12.8 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/03_week-3-data-labeling-and-human-in-the-loop-pipelines/01_data-labeling/04_data-labeling-best-practices.mp4 12.8 MB
~Get Your Files Here !/ml-pipelines-bert/01_week-1-feature-engineering-and-feature-store/04_feature-store/02_amazon-sagemaker-feature-store.mp4 12.7 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/01_model-deployment-and-integration/01_week-2-outline.mp4 12.7 MB
~Get Your Files Here !/automl-datasets-ml-models/03_week-3-use-automated-machine-learning-to-train-a-text-classifier/01_automated-machine-learning/04_amazon-sagemaker-autopilot.mp4 12.7 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/03_week-3-data-labeling-and-human-in-the-loop-pipelines/02_human-in-the-loop-pipelines/03_week-3-summary.mp4 12.4 MB
~Get Your Files Here !/ml-pipelines-bert/03_week-3-deploy-end-to-end-machine-learning-pipelines/01_machine-learning-operations-mlops-and-pipelines/04_model-lineage-artifact-tracking.mp4 12.3 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/02_model-integration-and-monitoring/02_monitoring-ml-workloads.mp4 12.3 MB
~Get Your Files Here !/automl-datasets-ml-models/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/06_detect-statistical-bias-with-amazon-sagemaker-clarify.mp4 12.1 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/01_week-1-advanced-model-training-tuning-and-evaluation/04_ml-model-training-challenges/03_custom-algorithms-with-amazon-sagemaker.mp4 11.7 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/02_model-integration-and-monitoring/03_model-monitoring-using-amazon-sagemaker-model-monitor.mp4 11.5 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/01_week-1-advanced-model-training-tuning-and-evaluation/04_ml-model-training-challenges/02_distributed-training-strategies.mp4 11.4 MB
~Get Your Files Here !/automl-datasets-ml-models/01_week-1-explore-the-use-case-and-analyze-the-dataset/03_working-with-data/03_week-1-summary.mp4 11.3 MB
~Get Your Files Here !/ml-pipelines-bert/01_week-1-feature-engineering-and-feature-store/02_feature-engineering/01_week-1-outline.mp4 11.2 MB
~Get Your Files Here !/automl-datasets-ml-models/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/09_summary.mp4 11.2 MB
~Get Your Files Here !/automl-datasets-ml-models/03_week-3-use-automated-machine-learning-to-train-a-text-classifier/01_automated-machine-learning/02_automated-machine-learning-automl.mp4 10.9 MB
~Get Your Files Here !/automl-datasets-ml-models/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/01_introduction.mp4 10.7 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/01_model-deployment-and-integration/05_amazon-sagemaker-real-time-inference-production-variants.mp4 10.5 MB
~Get Your Files Here !/automl-datasets-ml-models/03_week-3-use-automated-machine-learning-to-train-a-text-classifier/01_automated-machine-learning/08_model-hosting.mp4 10.5 MB
~Get Your Files Here !/ml-pipelines-bert/01_week-1-feature-engineering-and-feature-store/02_feature-engineering/03_feature-engineering-steps.mp4 10.3 MB
~Get Your Files Here !/ml-pipelines-bert/01_week-1-feature-engineering-and-feature-store/03_bert-and-feature-engineering-at-scale/01_bert-bidirectional-encoder-representations-from-transformers.mp4 9.9 MB
~Get Your Files Here !/ml-pipelines-bert/03_week-3-deploy-end-to-end-machine-learning-pipelines/02_machine-learning-pipelines-with-amazon-sagemaker/03_amazon-sagemaker-projects-demo.mp4 9.9 MB
~Get Your Files Here !/ml-pipelines-bert/02_week-2-train-debug-and-profile-a-machine-learning-model/01_training-of-a-custom-model/02_train-and-debug-a-custom-machine-learning-model.mp4 9.7 MB
~Get Your Files Here !/ml-pipelines-bert/01_week-1-feature-engineering-and-feature-store/04_feature-store/03_week-1-summary.mp4 9.5 MB
~Get Your Files Here !/automl-datasets-ml-models/01_week-1-explore-the-use-case-and-analyze-the-dataset/03_working-with-data/02_data-visualization.mp4 9.3 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/01_week-1-advanced-model-training-tuning-and-evaluation/04_ml-model-training-challenges/04_week-1-summary.mp4 9.2 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/01_week-1-advanced-model-training-tuning-and-evaluation/04_ml-model-training-challenges/01_checkpointing.mp4 9.1 MB
~Get Your Files Here !/ml-pipelines-bert/01_week-1-feature-engineering-and-feature-store/04_feature-store/01_feature-store.mp4 8.8 MB
~Get Your Files Here !/ml-pipelines-bert/03_week-3-deploy-end-to-end-machine-learning-pipelines/02_machine-learning-pipelines-with-amazon-sagemaker/02_machine-learning-pipelines-with-amazon-sagemaker-projects.mp4 8.7 MB
~Get Your Files Here !/automl-datasets-ml-models/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/03_statistical-bias-causes.mp4 8.6 MB
~Get Your Files Here !/ml-pipelines-bert/02_week-2-train-debug-and-profile-a-machine-learning-model/02_training-of-a-custom-model-with-amazon-sagemaker/02_debug-and-profile-models.mp4 8.2 MB
~Get Your Files Here !/automl-datasets-ml-models/03_week-3-use-automated-machine-learning-to-train-a-text-classifier/01_automated-machine-learning/06_amazon-sagemaker-autopilot-evaluating-output.mp4 8.0 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/03_week-3-data-labeling-and-human-in-the-loop-pipelines/02_human-in-the-loop-pipelines/01_human-in-the-loop-pipelines.mp4 7.7 MB
~Get Your Files Here !/ml-pipelines-bert/01_week-1-feature-engineering-and-feature-store/02_feature-engineering/04_feature-engineering-pipeline.mp4 7.6 MB
~Get Your Files Here !/ml-pipelines-bert/01_week-1-feature-engineering-and-feature-store/03_bert-and-feature-engineering-at-scale/02_bert-example.mp4 7.5 MB
~Get Your Files Here !/automl-datasets-ml-models/04_week-4-built-in-algorithms/01_built-in-algorithms/02_built-in-algorithms.mp4 7.2 MB
~Get Your Files Here !/automl-datasets-ml-models/01_week-1-explore-the-use-case-and-analyze-the-dataset/02_introduction-to-practical-data-science/03_use-case-and-data-set.mp4 7.1 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/02_model-integration-and-monitoring/01_model-integration.mp4 6.9 MB
~Get Your Files Here !/automl-datasets-ml-models/03_week-3-use-automated-machine-learning-to-train-a-text-classifier/01_automated-machine-learning/01_introduction.mp4 6.6 MB
~Get Your Files Here !/automl-datasets-ml-models/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/04_measuring-statistical-bias.mp4 6.5 MB
~Get Your Files Here !/ml-pipelines-bert/02_week-2-train-debug-and-profile-a-machine-learning-model/01_training-of-a-custom-model/04_pre-trained-bert-models.mp4 6.3 MB
~Get Your Files Here !/automl-datasets-ml-models/04_week-4-built-in-algorithms/01_built-in-algorithms/05_train-a-text-classifier.mp4 6.1 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/02_week-2-advanced-model-deployment-and-monitoring/01_model-deployment-and-integration/06_amazon-sagemaker-batch-transform-batch-inference.mp4 5.9 MB
~Get Your Files Here !/ml-models-human-in-the-loop-pipelines/03_week-3-data-labeling-and-human-in-the-loop-pipelines/01_data-labeling/01_week-3-outline.mp4 5.1 MB
~Get Your Files Here !/automl-datasets-ml-models/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/02_statistical-bias.mp4 4.7 MB
~Get Your Files Here !/ml-pipelines-bert/01_week-1-feature-engineering-and-feature-store/02_feature-engineering/02_introduction-to-feature-engineering.mp4 4.2 MB
~Get Your Files Here !/automl-datasets-ml-models/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/07_approaches-to-statistical-bias-detection.mp4 3.5 MB
~Get Your Files Here !/automl-datasets-ml-models/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/05_detecting-statistical-bias.mp4 2.8 MB
~Get Your Files Here !/automl-datasets-ml-models/04_week-4-built-in-algorithms/01_built-in-algorithms/06_deploy-the-text-classifier.mp4 2.8 MB
~Get Your Files Here !/automl-datasets-ml-models/04_week-4-built-in-algorithms/01_built-in-algorithms/08_additional-reading-material_1607.04606v2.pdf 2.3 MB
~Get Your Files Here !/automl-datasets-ml-models/04_week-4-built-in-algorithms/05_course-resources/01_course-1-optional-references_1607.04606v2.pdf 2.3 MB
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~Get Your Files Here !/automl-datasets-ml-models/04_week-4-built-in-algorithms/01_built-in-algorithms/08_additional-reading-material_language_understanding_paper.pdf 528.4 KB
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