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| rebar-evaluating.model.effectiveness.in.microsoft.azure.rar |
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123,044,338 |
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| Archived
files |
|
01 - Course Overview\01 - Course Overview.mp4
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|
2,093,112 |
48503BD6 |
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02 - Evaluating Model Effectiveness\02 - Overview.mp4
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02 - Evaluating Model Effectiveness\03 - Preliminary Terminology.mp4
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02 - Evaluating Model Effectiveness\04 - Scoring and Evaluating an Azure ML Pipeline.mp4
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02 - Evaluating Model Effectiveness\05 - Demo - Inspecting an Azure ML Pipeline.mp4
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02 - Evaluating Model Effectiveness\06 - Demo - Scoring and Evaluating the Pipeline Model.mp4
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02 - Evaluating Model Effectiveness\07 - Summary.mp4
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03 - Improving Model Performance\08 - Overview.mp4
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03 - Improving Model Performance\09 - Detecting and Preventing Overfitting.mp4
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03 - Improving Model Performance\10 - Azure Automated Machine Learning.mp4
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03 - Improving Model Performance\11 - Demo - Creating an Automated ML Experiment.mp4
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03 - Improving Model Performance\12 - Demo - Interpreting the Experiment Results.mp4
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03 - Improving Model Performance\13 - Summary.mp4
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04 - Assessing Model Explainability\14 - Overview.mp4
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04 - Assessing Model Explainability\15 - Microsoft's Guiding Principles for Responsible AI.mp4
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04 - Assessing Model Explainability\16 - Unintended Bias and Interpretability.mp4
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04 - Assessing Model Explainability\17 - Setting Up an Experiment in a Jupyter Notebook.mp4
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04 - Assessing Model Explainability\18 - Demo - Touring the Azure Python Interpretability SDK.mp4
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04 - Assessing Model Explainability\19 - Summary.mp4
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microsoft-azure-evaluating-model-effectiveness.zip |
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01 - Course Overview |
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02 - Evaluating Model Effectiveness |
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03 - Improving Model Performance |
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04 - Assessing Model Explainability |
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| Total size: |
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