Techniques for ML Model Transparency and Debugging

Techniques for ML Model Transparency and Debugging

Stanford Seminar - Human-Centered Explainable AI: From Algorithms to User ExperiencesПодробнее

Stanford Seminar - Human-Centered Explainable AI: From Algorithms to User Experiences

"Interactive Debugging and Testing Support for Deep Learning" by Tianyi ZhangПодробнее

'Interactive Debugging and Testing Support for Deep Learning' by Tianyi Zhang

Patrick Hall, H2O.ai - The Case for Model Debugging - #H2OWorld 2019 NYCПодробнее

Patrick Hall, H2O.ai - The Case for Model Debugging - #H2OWorld 2019 NYC

MFML 062 - Debugging your machine learning modelПодробнее

MFML 062 - Debugging your machine learning model

Explainable machine learning & model transparency – from "Machine Learning Leadership and Practice"Подробнее

Explainable machine learning & model transparency – from 'Machine Learning Leadership and Practice'

Real-world Strategies for Debugging Machine Learning SystemsПодробнее

Real-world Strategies for Debugging Machine Learning Systems

Patrick Hall - Real-World Strategies for Model DebuggingПодробнее

Patrick Hall - Real-World Strategies for Model Debugging

Building a Visual Debugging Tool for ML - TF.js in Interactive Visual Analytics (TF Dev Summit '19)Подробнее

Building a Visual Debugging Tool for ML - TF.js in Interactive Visual Analytics (TF Dev Summit '19)

🔍 Debug ML With Overfitting: PyTorch Lightning (Tutorial + Example)Подробнее

🔍 Debug ML With Overfitting: PyTorch Lightning (Tutorial + Example)

Your Path to Fully Automated Data Science Part 2: RapidMiner Auto ModelПодробнее

Your Path to Fully Automated Data Science Part 2: RapidMiner Auto Model

Explainable AI: Challenges and Opportunities in Developing Transparent Machine Learning ModelsПодробнее

Explainable AI: Challenges and Opportunities in Developing Transparent Machine Learning Models

DeepConcolic: Testing and Debugging Deep Neural NetworksПодробнее

DeepConcolic: Testing and Debugging Deep Neural Networks

Real World Strategies for Model Debugging with Patrick HallПодробнее

Real World Strategies for Model Debugging with Patrick Hall

This Crazy Ai tool Will Debug and Fix Your CodeПодробнее

This Crazy Ai tool Will Debug and Fix Your Code

3LC Demonstration of Model and Dataset Debugging and Optimization for Improved AccuracyПодробнее

3LC Demonstration of Model and Dataset Debugging and Optimization for Improved Accuracy

⚡️🔍 AI's Hidden Software Bugs #Programming #Debug #ai #technology #youtube #video PART 1Подробнее

⚡️🔍 AI's Hidden Software Bugs #Programming #Debug #ai #technology #youtube #video PART 1

Andreas Dewes - Fairness and transparency in machine learning: Tools and techniquesПодробнее

Andreas Dewes - Fairness and transparency in machine learning: Tools and techniques

Debugging with ChatGPT: How to Use Machine Learning to Detect ErrorsПодробнее

Debugging with ChatGPT: How to Use Machine Learning to Detect Errors

How to debug machine learning models, from Apple to startup-Gabriel Bayomi-theDataScientistShow#055Подробнее

How to debug machine learning models, from Apple to startup-Gabriel Bayomi-theDataScientistShow#055

Transparency and Intelligibility Throughout the Machine Learning Life CycleПодробнее

Transparency and Intelligibility Throughout the Machine Learning Life Cycle

Versioning, transparency & governance in ML pipelinesПодробнее

Versioning, transparency & governance in ML pipelines