Pluralsight Path Data Science with Microsoft Azure 2021 F2 Evaluating Model Effectiveness in Microsoft Azure Tim Warner 2019 Assessing Model Explainability Microsofts Guiding Principles for Responsible AI vtt

Pluralsight Path Data Science with Microsoft Azure 2021
F2 Evaluating Model Effectiveness in Microsoft Azure Tim Warner 2019 Assessing Model Explainability Microsofts Guiding Principles for Responsible AI vtt

Name	Pluralsight Path. Data Science with Microsoft Azure (2021)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.4 GB
Total Files	1000
Last Seen	2025-08-13 23:42
Hash	35B2554B1CE78F11BB2C8CB0A354BB034C77271F

/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/4. Assessing Model Explainability/2. Microsofts Guiding Principles for Responsible AI.vtt	3.4 KB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/4. Assessing Model Explainability/2. Microsofts Guiding Principles for Responsible AI.mp4	3.9 MB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/4. Assessing Model Explainability/3. Unintended Bias and Interpretability.vtt	3.8 KB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/4. Assessing Model Explainability/5. Demo - Touring the Azure Python Interpretability SDK.vtt	5.2 KB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/4. Assessing Model Explainability/3. Unintended Bias and Interpretability.mp4	4.4 MB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/4. Assessing Model Explainability/4. Setting Up an Experiment in a Jupyter Notebook.vtt	5.9 KB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/4. Assessing Model Explainability/1. Overview.vtt	0.7 KB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/4. Assessing Model Explainability/5. Demo - Touring the Azure Python Interpretability SDK.mp4	15.1 MB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/4. Assessing Model Explainability/4. Setting Up an Experiment in a Jupyter Notebook.mp4	12.9 MB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/4. Assessing Model Explainability/6. Summary.vtt	1.9 KB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/4. Assessing Model Explainability/1. Overview.mp4	635.1 KB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/4. Assessing Model Explainability/6. Summary.mp4	1.9 MB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/2. Evaluating Model Effectiveness/4. Demo - Inspecting an Azure ML Pipeline.vtt	10.4 KB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/3. Improving Model Performance/3. Azure Automated Machine Learning.vtt	2.4 KB
/F2. Evaluating Model Effectiveness in Microsoft Azure (Tim Warner, 2019)/3. Improving Model Performance/5. Demo - Interpreting the Experiment Results.vtt	2.3 KB
Showing first 15 files of 1000 total files