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Explainable AI → https://goo.gle/explainable-ai Want to understand how your trained models make decisions? In this episode of Deploying AI, ...
YouTube-Google Cloud Tech
Intro
What is Vertex AI?
What is Vertex Explainable AI?
Example machine learning model
Interpreting your machine learning models
Wrap up
What is WatsonX: https://ibm.biz/BdPuQX What is Explainable AI → https://ibm.biz/Explainable_AI Create Data Fabric instead of Data Silos ...
YouTube-IBM Technology
How do you know if you can trust the results of an AI Model?
How confident can you be that my AI model is right?
Black Box AI
Prediction accuracy
DeepLift
Decision understanding
Minimum changes required for different outcomes
Troubleshooting & improving model performance
Explainable AI Use Cases
Conclusion
Explainable AI allows users to understand how an AI model makes predictions or comes to results. Learn more about what explainable AI is, ...
YouTube-MATLAB
Code ▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭ https://github.com/deepfindr Repository about XAI: ...
YouTube-DeepFindr
Introduction
What is XAI
XAI Overview
Content of the next videos
Explainable AI Explained As the field of artificial intelligence (AI) has matured, increasingly complex opaque models have been developed ...
YouTube-Software Engineering Institute | Carnegie Mellon University
What do Explainable AI processes and methods look like?
Probing the Model After Deployment
What is the connection between Explainable AI and trust?
What is the AI Division's focus?
Scalable AI
Why is AI adoption slow?
Future of Explainable AI
How to learn about Explainable AI
This video gives a broad overview on explainable AI, from the difference between explainability and interpretability to each of the ...
YouTube-Mukul Rathi
Explainability vs Interpretability
Global vs Local Explanations
Visualising ML Internals
Feature-based explanations
Concept-based explanations
Example-based explanations
Counterfactuals
Chris Penick, an experienced AI instructor, demystifies buzzwords related to AI, explains what XAI is, and discusses what the future holds ...
YouTube-Accelebrate
Housekeeping Rules
Bias Evaluation
Generative Ai
Recognizing Shapes
Gradient Descent
Interpretability
Linear Regression
Deep Learning
Interpretable Models
Ai Ethics Lawsuit
Are you confused by how the algorithms behind AI work? This free webinar unveils Explainable AI (XAI) and demonstrates how XAI allows us to ...
YouTube-ExitCertified
Artificial intelligence (AI) and machine learning (ML) impact our lives in many ways. From mundane tasks to critical decision-making ...
YouTube-A Data Odyssey
What is XAI?
Inrinsically interpretable models
Black-box models
Model agnostic methods
Causal models
Counterfactual explanations
Adversarial examples
Model-specific methods
A note on terminology
Join Priyal Agarwal, a machine learning engineer at Snorkel AI, as she moderates a panel discussion on "Strategies and Best Practices for ...
YouTube-Snorkel AI
How do you define Explainable AI?
Explainable AI in Employment Screening
Human-in-the-Loop Interactions
Explainable AI Tools
Data Quality
How to balance explainability and performance?
Interdisciplinary teams
What are your thoughts on AI governance?
For real-time updates on events, connections & resources, join our community on WhatsApp: https://jvn.io/wTBMmV0 In this Masterclass, ...
YouTube-Jovian
Introduction & Importance
Types of Explainable AI
LIME
SHAP
PAP
Resources
... Explainable AI 00:05:32 | Using SHAP for Model Explanation ... 181 views · 7 months ago #artificialintelligence #ExplainableAI #syntheticdata ...
YouTube-MOSTLY AI
Preparing for Data Synthesis
Data Synthesis using MOSTLY AI
Introduction to Explainable AI
Using SHAP for Model Explanation
Dependency Plots
Inspecting Individual Samples
Aggregate Sample Explanation
Grab Your FREE MLOps Monitoring Whitepaper here: https://hubs.ly/H0F8w230 ▻ Request Your FREE Fiddler Demo here: https://hubs.ly/H0FzrK20 ...
YouTube-Fiddler AI
Introduction & Agenda
Agenda
Why Explainable AI?
Regulators & Auditors
Motivation for Explainability
Why Explainability?
Scientific Motivation
Regulatory Requirements
Explainability in the AI Lifecycle
Techniques for achieving Explainability
If you have any copyright issues on video, please send us an email at khawar512@gmail.com Some popular workshops and tutorials in top-tier ...
YouTube-Artificial Intelligence
Applications of Explainable AI
Black Box Model
Human Factors in Explanations
Applications: Game Theory, Robotics
Explaining Uncertainty
Planning & Scheduling
Anchoring: When to remove features
Objectives of Explainable AI
ImageNet Visualization
freebirdscrew #SimranjeetSingh #MachineLearning #ExplainableAI #Python #artificialintelligence Full Playlist Link - https://bit.ly/47Qzroc ...
YouTube-FreeBirds Crew - Data Science and Generative AI
Goal of Course !!
What is Machine Learning?
Why Machine Learning?
Types of ML Algorithms
Permutation Feature Importance
Pros and Cons of Permutation Importance
Slicing the Data Set
Retraining
Recorded at IJCNN 2023, 18-23 June, Gold Coast, Queensland, Australia. IJCNN 2023 was sponsored by the International Neural Network Society.
YouTube-International Neural Network Society (INNS)
Welcome to "Innovation Talks with CCH Tagetik"! In the second episode of our series, we delve into the world of Explainable AI and its ...
YouTube-CCH® Tagetik
Refer a friend and get up to $100 Amazon gift card when they book training: https://www.exitcertified.com/it-training/savings/rewards View ...
Explainable AI (XAI), also known as interpretable machine learning (IML), can help you understand and explain your model.
Approaches in XAI
Benefit 1: improve accuracy
Benefit 2: debugging models
Benefit 3: decrease harm
Benefit 4: build trust
Benefit 5: telling stories
Benefit 6: gain knowledge
Limitations of XAI