[ DevCourseWeb.com ] Udemy - Explainable Artificial Intelligence (XAI) with Python

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[ DevCourseWeb.com ] Udemy - Explainable Artificial Intelligence (XAI) with Python

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种子哈希：74cb5f8c345d300fd86860991ffa1b9d3362aa1b
文件大小： 3.32G
已经下载：1934次
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收录时间：2022-01-21
最近下载：2024-12-10

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文件列表

  • ~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/005 SHAP Demonstration.mp4 199.7 MB
  • ~Get Your Files Here !/05 - Counterfactual Explanations/005 Demo of Counterfactual Explanations on Stroke Dataset.mp4 181.2 MB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/007 LIME Demonstration for textual dataset Part-3.mp4 141.2 MB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/010 Demo for Decision Tree Classifier Explanation.mp4 136.8 MB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/003 Need for Train-Test Split.mp4 124.1 MB
  • ~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/005 Case Study-5 Demo of What-if Tool (WIT).mp4 112.1 MB
  • ~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/001 Case Study-1 Demo of What-if Tool (WIT).mp4 108.7 MB
  • ~Get Your Files Here !/01 - Introduction to XAI/001 XAI in Action.mp4 108.6 MB
  • ~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/002 Case Study-2 Demo of What-if Tool (WIT).mp4 100.6 MB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/004 Demo of LIME for tabular Stroke Dataset.mp4 97.9 MB
  • ~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/001 Interaction Demos of LRP.mp4 97.6 MB
  • ~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/003 Mathematical Modelling of LRP.mp4 88.2 MB
  • ~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/003 Case Study-3 Demo of What-if Tool (WIT).mp4 88.0 MB
  • ~Get Your Files Here !/01 - Introduction to XAI/002 Need and Importance of XAI.mp4 83.3 MB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/012 Demo for Explainable Boosting Classifier Explanaation.mp4 81.6 MB
  • ~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/004 Mathematical Modelling of SHAP Part-3.mp4 80.1 MB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/009 Demo for Logistic Regression Model Explanation.mp4 79.9 MB
  • ~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/005 Demo of LRP on MRI dataset Part-2.mp4 79.6 MB
  • ~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/004 Case Study-4 Demo of What-if Tool (WIT).mp4 77.6 MB
  • ~Get Your Files Here !/05 - Counterfactual Explanations/003 Mathematical Modelling of Counterfactual Explanations.mp4 75.1 MB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/006 LIME Demonstration for textual dataset Part-2.mp4 74.8 MB
  • ~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/004 Demo of LRP on MRI dataset Part-1.mp4 74.0 MB
  • ~Get Your Files Here !/08 - Contrastive Explanations Method (CEM)/001 Working Principle and Applications of Contrastive Explanations Method (CEM).mp4 69.6 MB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/001 LIME Working Principle.mp4 69.0 MB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/007 Demo of Data Exploration for Stroke Dataset.mp4 68.7 MB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/005 LIME Demonstration for textual dataset Part-1.mp4 67.3 MB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/006 Quality Metrics for Classification Confusion Matrix, Precision, Recall, F1Score.mp4 60.3 MB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/008 InterpretML Package.mp4 59.6 MB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/003 Mathematical Modelling of LIME Part-2.mp4 58.5 MB
  • ~Get Your Files Here !/01 - Introduction to XAI/003 By Design Interpretable Models Decision Tree Glass Box Models.mp4 57.5 MB
  • ~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/003 Mathematical Modelling of SHAP Part-2.mp4 56.3 MB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/001 Demonstration of Glass Box Models Part-1.mp4 54.3 MB
  • ~Get Your Files Here !/01 - Introduction to XAI/004 By Design Interpretable Models Logistic Regression Glass Box Models.mp4 53.1 MB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/002 Mathematical Modelling of LIME Part-1.mp4 52.6 MB
  • ~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/001 SHAP Working Principle.mp4 51.3 MB
  • ~Get Your Files Here !/05 - Counterfactual Explanations/002 Working Principle of Counterfactual Explanations.mp4 48.7 MB
  • ~Get Your Files Here !/01 - Introduction to XAI/006 Black Box Models Part-2.mp4 47.3 MB
  • ~Get Your Files Here !/05 - Counterfactual Explanations/001 Working Principle of Counterfactual Explanations-1.mp4 46.9 MB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/011 Explainable Boosting Classifier Working Principle.mp4 42.2 MB
  • ~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/002 Mathematical Modelling of SHAP Part-1.mp4 39.1 MB
  • ~Get Your Files Here !/01 - Introduction to XAI/007 XAI Categorization.mp4 38.9 MB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/004 Techniques for Balancing the Dataset.mp4 38.8 MB
  • ~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/002 Working Principle of LRP.mp4 37.9 MB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/002 Demonstration of Glass Box Models Part-2.mp4 37.0 MB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/005 Code for Balancing the Dataset.mp4 34.9 MB
  • ~Get Your Files Here !/01 - Introduction to XAI/005 Black Box Models Part-1.mp4 31.9 MB
  • ~Get Your Files Here !/05 - Counterfactual Explanations/004 Global Counterfactuals.mp4 28.2 MB
  • ~Get Your Files Here !/13 - Acknowledgement/001 Gratitude.mp4 28.0 MB
  • ~Get Your Files Here !/05 - Counterfactual Explanations/005 Demo of Counterfactual Explanations on Stroke Dataset_en.srt 27.5 kB
  • ~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/005 SHAP Demonstration_en.srt 25.7 kB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/010 Demo for Decision Tree Classifier Explanation_en.srt 23.0 kB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/007 LIME Demonstration for textual dataset Part-3_en.srt 20.8 kB
  • ~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/001 Case Study-1 Demo of What-if Tool (WIT)_en.srt 19.4 kB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/003 Need for Train-Test Split_en.srt 18.4 kB
  • ~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/003 Mathematical Modelling of LRP_en.srt 18.1 kB
  • ~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/004 Mathematical Modelling of SHAP Part-3_en.srt 16.9 kB
  • ~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/002 Case Study-2 Demo of What-if Tool (WIT)_en.srt 16.6 kB
  • ~Get Your Files Here !/05 - Counterfactual Explanations/003 Mathematical Modelling of Counterfactual Explanations_en.srt 15.2 kB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/004 Demo of LIME for tabular Stroke Dataset_en.srt 14.3 kB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/006 Quality Metrics for Classification Confusion Matrix, Precision, Recall, F1Score_en.srt 13.8 kB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/001 LIME Working Principle_en.srt 13.4 kB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/003 Mathematical Modelling of LIME Part-2_en.srt 13.4 kB
  • ~Get Your Files Here !/01 - Introduction to XAI/001 XAI in Action_en.srt 13.3 kB
  • ~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/005 Demo of LRP on MRI dataset Part-2_en.srt 13.1 kB
  • ~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/005 Case Study-5 Demo of What-if Tool (WIT)_en.srt 12.9 kB
  • ~Get Your Files Here !/08 - Contrastive Explanations Method (CEM)/001 Working Principle and Applications of Contrastive Explanations Method (CEM)_en.srt 12.5 kB
  • ~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/001 SHAP Working Principle_en.srt 12.5 kB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/012 Demo for Explainable Boosting Classifier Explanaation_en.srt 12.4 kB
  • ~Get Your Files Here !/01 - Introduction to XAI/003 By Design Interpretable Models Decision Tree Glass Box Models_en.srt 12.2 kB
  • ~Get Your Files Here !/01 - Introduction to XAI/002 Need and Importance of XAI_en.srt 12.1 kB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/005 LIME Demonstration for textual dataset Part-1_en.srt 12.0 kB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/002 Mathematical Modelling of LIME Part-1_en.srt 11.9 kB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/006 LIME Demonstration for textual dataset Part-2_en.srt 11.8 kB
  • ~Get Your Files Here !/01 - Introduction to XAI/004 By Design Interpretable Models Logistic Regression Glass Box Models_en.srt 11.7 kB
  • ~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/003 Case Study-3 Demo of What-if Tool (WIT)_en.srt 11.4 kB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/007 Demo of Data Exploration for Stroke Dataset_en.srt 11.3 kB
  • ~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/003 Mathematical Modelling of SHAP Part-2_en.srt 11.2 kB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/001 Demonstration of Glass Box Models Part-1_en.srt 11.2 kB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/009 Demo for Logistic Regression Model Explanation_en.srt 11.0 kB
  • ~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/001 Interaction Demos of LRP_en.srt 10.8 kB
  • ~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/004 Case Study-4 Demo of What-if Tool (WIT)_en.srt 10.7 kB
  • ~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/004 Demo of LRP on MRI dataset Part-1_en.srt 10.6 kB
  • ~Get Your Files Here !/05 - Counterfactual Explanations/002 Working Principle of Counterfactual Explanations_en.srt 10.1 kB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/011 Explainable Boosting Classifier Working Principle_en.srt 9.7 kB
  • ~Get Your Files Here !/05 - Counterfactual Explanations/001 Working Principle of Counterfactual Explanations-1_en.srt 9.3 kB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/004 Techniques for Balancing the Dataset_en.srt 8.9 kB
  • ~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/002 Mathematical Modelling of SHAP Part-1_en.srt 8.3 kB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/008 InterpretML Package_en.srt 8.3 kB
  • ~Get Your Files Here !/01 - Introduction to XAI/006 Black Box Models Part-2_en.srt 8.0 kB
  • ~Get Your Files Here !/01 - Introduction to XAI/007 XAI Categorization_en.srt 8.0 kB
  • ~Get Your Files Here !/01 - Introduction to XAI/005 Black Box Models Part-1_en.srt 7.0 kB
  • ~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/002 Working Principle of LRP_en.srt 6.9 kB
  • ~Get Your Files Here !/09 - Useful Resources for XAI/001 Useful Resources for XAI.html 6.0 kB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/002 Demonstration of Glass Box Models Part-2_en.srt 5.4 kB
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/005 Code for Balancing the Dataset_en.srt 4.9 kB
  • ~Get Your Files Here !/05 - Counterfactual Explanations/004 Global Counterfactuals_en.srt 4.6 kB
  • ~Get Your Files Here !/12 - Other resources from the Instructor/001 Other online courses from the Instructor.html 3.8 kB
  • ~Get Your Files Here !/13 - Acknowledgement/001 Gratitude_en.srt 2.6 kB
  • ~Get Your Files Here !/12 - Other resources from the Instructor/002 Text Books from the Instructor.html 1.3 kB
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/008 Recommended Practice Tasks.html 972 Bytes
  • ~Get Your Files Here !/05 - Counterfactual Explanations/006 Recommended Practice Tasks.html 843 Bytes
  • ~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/006 Recommended Practice Tasks.html 726 Bytes
  • ~Get Your Files Here !/03 - LIME (Local Interpretable Model Agnostic Explanations)/external-assets-links.txt 608 Bytes
  • ~Get Your Files Here !/02 - Demonstration of By Design Interpretable Models Glass Box/external-assets-links.txt 501 Bytes
  • ~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/external-assets-links.txt 422 Bytes
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • ~Get Your Files Here !/06 - Google's What-if Tool (WIT) for AI fairness and Counterfactuals/external-assets-links.txt 320 Bytes
  • ~Get Your Files Here !/11 - Surprise on Completion of Course/001 Open your gift.html 195 Bytes
  • Get Bonus Downloads Here.url 182 Bytes
  • ~Get Your Files Here !/07 - Layer-wise Relevance Propagation (LRP)/006 Recommended Practice Tasks.html 102 Bytes
  • ~Get Your Files Here !/04 - SHAP (SHapley Additive exPlanations)/external-assets-links.txt 74 Bytes
  • ~Get Your Files Here !/05 - Counterfactual Explanations/external-assets-links.txt 74 Bytes

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