[] Coursera – Practical Data Science Specialization
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文件列表
- Coursera - Analyze Datasets and Train ML Models using AutoML/03_week-3-use-automated-machine-learning-to/01_automated-machine-learning/03_automl-workflow.mp4 28MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/01_model-deployment-and-integration/04_amazon-sagemaker-hosting-real-time-inference.mp4 27MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/02_advanced-model-training-and-tuning/03_tune-a-bert-based-text-classifier.mp4 23MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/02_model-integration-and-monitoring/04_week-2-summary.mp4 22MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/01_data-labeling/03_data-labeling-with-amazon-sagemaker-ground-truth.mp4 21MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/01_model-deployment-and-integration/03_model-deployment-strategies.mp4 19MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/03_week-3-use-automated-machine-learning-to/01_automated-machine-learning/09_week-3-summary.mp4 19MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/01_introduction.mp4 18MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/03_use-cases-and-algorithms.mp4 18MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/07_week-4-summary.mp4 16MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/02_advanced-model-training-and-tuning/02_advanced-model-training-and-tuning.mp4 16MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/04_text-analysis.mp4 16MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/02_advanced-model-training-and-tuning/01_week-1-outline.mp4 14MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/01_data-labeling/02_data-labeling.mp4 13MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/01_model-deployment-and-integration/02_model-deployment-overview.mp4 13MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/01_data-labeling/04_data-labeling-best-practices.mp4 13MB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/04_feature-store/02_amazon-sagemaker-feature-store.mp4 13MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/01_model-deployment-and-integration/01_week-2-outline.mp4 13MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/03_week-3-use-automated-machine-learning-to/01_automated-machine-learning/04_amazon-sagemaker-autopilot.mp4 13MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/02_human-in-the-loop-pipelines/03_week-3-summary.mp4 12MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/02_model-integration-and-monitoring/02_monitoring-ml-workloads.mp4 12MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/03_ml-model-training-challenges/03_custom-algorithms-with-amazon-sagemaker.mp4 12MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/03_ml-model-training-challenges/02_distributed-training-strategies.mp4 11MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/01_week-1-explore-the-use-case-and-analyze-the-dataset/03_working-with-data/03_week-1-summary.mp4 11MB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/02_feature-engineering/01_week-1-outline.mp4 11MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/09_summary.mp4 11MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/01_introduction.mp4 11MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/03_week-3-use-automated-machine-learning-to/01_automated-machine-learning/08_model-hosting.mp4 10MB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/02_feature-engineering/03_feature-engineering-steps.mp4 10MB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/04_feature-store/03_week-1-summary.mp4 10MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/01_week-1-explore-the-use-case-and-analyze-the-dataset/03_working-with-data/02_data-visualization.mp4 9MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/03_ml-model-training-challenges/04_week-1-summary.mp4 9MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/03_ml-model-training-challenges/01_checkpointing.mp4 9MB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/04_feature-store/01_feature-store.mp4 9MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/02_human-in-the-loop-pipelines/01_human-in-the-loop-pipelines.mp4 8MB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/02_feature-engineering/04_feature-engineering-pipeline.mp4 8MB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/03_bert-and-feature-engineering-at-scale/02_bert-example.mp4 7MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/02_built-in-algorithms.mp4 7MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/02_model-integration-and-monitoring/01_model-integration.mp4 7MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/03_week-3-use-automated-machine-learning-to/01_automated-machine-learning/01_introduction.mp4 7MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/05_train-a-text-classifier.mp4 6MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/01_data-labeling/01_week-3-outline.mp4 5MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/06_deploy-the-text-classifier.mp4 3MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/08_additional-reading-material_1607.04606v2.pdf 2MB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/02_course-resources/01_course-1-optional-references_1607.04606v2.pdf 2MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/03_course-resources/01_course-3-optional-references_1603.06560.pdf 2MB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/03_course-resources/01_course-3-optional-references_2012.08489.pdf 797KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/08_additional-reading-material_3146347.3146354 632KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/02_course-resources/01_course-1-optional-references_3146347.3146354 632KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/03_course-resources/01_course-3-optional-references_1206.2944.pdf 582KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/08_additional-reading-material_1802.05365v2.pdf 416KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/02_course-resources/01_course-1-optional-references_1802.05365v2.pdf 416KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/08_additional-reading-material_1301.3781.pdf 223KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/02_course-resources/01_course-1-optional-references_1301.3781.pdf 223KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/08_additional-reading-material_1706.03762 44KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/02_course-resources/01_course-1-optional-references_1706.03762 44KB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/04_feature-store/04_week-1-optional-references_1907.11692 43KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/08_additional-reading-material_1810.04805 42KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/02_course-resources/01_course-1-optional-references_1810.04805 42KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/08_additional-reading-material_blazingtext.html 31KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/02_course-resources/01_course-1-optional-references_blazingtext.html 31KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/08_additional-reading-material_algos.html 29KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/02_course-resources/01_course-1-optional-references_algos.html 29KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/03_course-resources/01_course-3-optional-references_model-ab-testing.html 25KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/03_week-3-use-automated-machine-learning-to/01_automated-machine-learning/03_automl-workflow.en.srt 21KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/02_advanced-model-training-and-tuning/03_tune-a-bert-based-text-classifier.en.srt 19KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/01_model-deployment-and-integration/03_model-deployment-strategies.en.srt 19KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/03_use-cases-and-algorithms.en.srt 17KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/03_course-resources/01_course-3-optional-references_model-monitor.html 16KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/01_data-labeling/03_data-labeling-with-amazon-sagemaker-ground-truth.en.srt 16KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/03_week-3-use-automated-machine-learning-to/01_automated-machine-learning/03_automl-workflow.en.txt 14KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/02_advanced-model-training-and-tuning/02_advanced-model-training-and-tuning.en.srt 14KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/03_course-resources/01_course-3-optional-references_sms.html 13KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/03_course-resources/01_course-3-optional-references_inference-pipelines.html 12KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/01_model-deployment-and-integration/02_model-deployment-overview.en.srt 12KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/01_data-labeling/04_data-labeling-best-practices.en.srt 11KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/04_text-analysis.en.srt 11KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/02_model-integration-and-monitoring/02_monitoring-ml-workloads.en.srt 10KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/02_advanced-model-training-and-tuning/03_tune-a-bert-based-text-classifier.en.txt 10KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/01_model-deployment-and-integration/03_model-deployment-strategies.en.txt 10KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/01_data-labeling/02_data-labeling.en.srt 9KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/03_use-cases-and-algorithms.en.txt 9KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/03_course-resources/01_course-3-optional-references_a2i-getting-started.html 9KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/03_course-resources/01_course-3-optional-references_endpoint-auto-scaling.html 9KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/01_data-labeling/03_data-labeling-with-amazon-sagemaker-ground-truth.en.txt 8KB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/04_feature-store/02_amazon-sagemaker-feature-store.en.srt 8KB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/02_feature-engineering/03_feature-engineering-steps.en.srt 8KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/01_model-deployment-and-integration/02_model-deployment-overview.en.txt 8KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/03_ml-model-training-challenges/02_distributed-training-strategies.en.srt 7KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/03_ml-model-training-challenges/01_checkpointing.en.srt 7KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/02_advanced-model-training-and-tuning/02_advanced-model-training-and-tuning.en.txt 7KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/04_text-analysis.en.txt 7KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/03_week-3-use-automated-machine-learning-to/01_automated-machine-learning/08_model-hosting.en.srt 7KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/03_ml-model-training-challenges/03_custom-algorithms-with-amazon-sagemaker.en.srt 6KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/02_model-integration-and-monitoring/02_monitoring-ml-workloads.en.txt 6KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/01_week-1-explore-the-use-case-and-analyze-the-dataset/03_working-with-data/02_data-visualization.en.srt 6KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/02_model-integration-and-monitoring/01_model-integration.en.srt 6KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/01_data-labeling/04_data-labeling-best-practices.en.txt 6KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/01_data-labeling/02_data-labeling.en.txt 6KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/02_built-in-algorithms.en.srt 5KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/02_model-integration-and-monitoring/04_week-2-summary.en.srt 5KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/02_human-in-the-loop-pipelines/01_human-in-the-loop-pipelines.en.srt 5KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/05_train-a-text-classifier.en.srt 5KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/03_ml-model-training-challenges/02_distributed-training-strategies.en.txt 5KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/03_week-3-use-automated-machine-learning-to/01_automated-machine-learning/08_model-hosting.en.txt 4KB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/04_feature-store/02_amazon-sagemaker-feature-store.en.txt 4KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/02_course-resources/01_course-1-optional-references_instructions.html 4KB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/02_feature-engineering/03_feature-engineering-steps.en.txt 4KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/03_week-3-use-automated-machine-learning-to/01_automated-machine-learning/09_week-3-summary.en.srt 4KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/01_week-1-explore-the-use-case-and-analyze-the-dataset/03_working-with-data/02_data-visualization.en.txt 4KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/03_course-resources/01_course-3-optional-references_instructions.html 4KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/03_ml-model-training-challenges/01_checkpointing.en.txt 4KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/03_ml-model-training-challenges/03_custom-algorithms-with-amazon-sagemaker.en.txt 4KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/04_acknowledgements/01_acknowledgements_instructions.html 4KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/03_acknowledgements/01_acknowledgements_instructions.html 4KB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/04_feature-store/01_feature-store.en.srt 3KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/02_model-integration-and-monitoring/01_model-integration.en.txt 3KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/02_built-in-algorithms.en.txt 3KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/01_introduction.en.srt 3KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/01_model-deployment-and-integration/01_week-2-outline.en.srt 3KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/01_week-1-explore-the-use-case-and-analyze-the-dataset/03_working-with-data/03_week-1-summary.en.srt 3KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/07_week-4-summary.en.srt 3KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/02_week-2/02_model-integration-and-monitoring/04_week-2-summary.en.txt 3KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/02_human-in-the-loop-pipelines/01_human-in-the-loop-pipelines.en.txt 3KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/02_advanced-model-training-and-tuning/01_week-1-outline.en.srt 3KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/03_week-3-use-automated-machine-learning-to/01_automated-machine-learning/09_week-3-summary.en.txt 3KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/05_train-a-text-classifier.en.txt 3KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/01_data-labeling/01_week-3-outline.en.srt 3KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/08_additional-reading-material_instructions.html 3KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/02_human-in-the-loop-pipelines/03_week-3-summary.en.srt 2KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/03_week-3/04_acknowledgements/02_become-a-deeplearning-ai-mentor-tester_instructions.html 2KB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/04_feature-store/01_feature-store.en.txt 2KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/01_introduction.en.txt 2KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/06_deploy-the-text-classifier.en.srt 2KB
- Coursera - Optimize ML Models and Deploy Human-in-the-Loop Pipelines/01_week-1/03_ml-model-training-challenges/04_week-1-summary.en.srt 2KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/02_week-2-data-bias-and-feature-importance/01_statistical-bias-and-feature-importance/09_summary.en.srt 2KB
- Coursera - Build, Train, and Deploy ML Pipelines using BERT/01_week-1-feature-engineering-and-feature-store/02_feature-engineering/01_week-1-outline.en.srt 2KB
- Coursera - Analyze Datasets and Train ML Models using AutoML/04_week-4-built-in-algorithms/01_built-in-algorithms/07_week-4-summary.en.txt 2KB
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