[ DevCourseWeb.com ] Udemy - Explainable Artificial Intelligence (XAI) with Python - 2048BT - 全球最新最全bt种子资源在线搜索库，实时索引全球磁力链接资源

BT种子名称

分享给好友

BT种子基本信息

种子哈希：74cb5f8c345d300fd86860991ffa1b9d3362aa1b
文档大小：3.6 GB
文档个数：112个文档
下载次数：5320次
下载速度：极快
收录时间：2022-06-23
最近下载：2024-09-30
DMCA/屏蔽：DMCA/屏蔽

下载磁力链接

magnet:?xt=urn:btih:74CB5F8C345D300FD86860991FFA1B9D3362AA1B
复制磁力链接到utorrent、Bitcomet、迅雷、115、百度网盘、PIKPAK等下载工具进行下载。

下载BT种子

磁力链接种子下载迅雷下载二维码含羞草 51品茶 91视频逼哩逼哩欲漫涩草榴社区抖阴破解版成人快手暗网禁区缅北禁地 TikTok成人版暗网解密

[ DevCourseWeb.com ] Udemy - Explainable Artificial Intelligence (XAI) with Python的二维码

文档列表

~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

==查看完整文档列表==

上一个：1.zip52.8 MB
下一个：below.deck.down.under.s01e16.720p.web.h264-spamneggs[eztv.re].mkv 1.6 GB

种子标签

种子评价

优质的种子 (0) 假种子 (0) 有密码 (0) 低质量 (0) 有病毒 (0) 无法下载 (0)
欢迎对种子质量进行评价。

人气女优

北川ゆい Akira COCOLO Saiko あいだももあさのくるみあまいれもんいしかわ愛里いとうしいなうさみ恭香うちだまひろかぐやひめかとりこのみかないかほくすのき琴美クミコグレースくらもとまい（葉月ありさ）さとみ中村あみしいな純菜しのざきさとみ（三沢亜也）牧本千幸（つかもと友希）眞木ありさデヴィテラパトリックドミニカともさかまいともさか愛なごみもえひなこ

分享BT种子/磁力链接

亲，你知道吗？下载的人越多速度越快，赶快把本页面分享给好友一起下载吧^_^

2048BT

BT种子名称

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

分享给好友

BT种子基本信息

下载磁力链接

下载BT种子

文档列表

猜你喜欢

种子标签

种子评价

最近搜索

人气女优

最新番号

分享BT种子/磁力链接

友情链接