Github Ruyakubu Responsible Ai Dashboard Workshop

Github Ruyakubu Responsible Ai Dashboard Workshop The lab will walk you through the steps of training a model, deploying it and then use the dashboard to debug and assess the model for fairness, inclusiveness, transparency, accountability and reliability concerns. To support ai practitioners, the responsible ai dashboard enables debugging capabilities that can be used throughout the machine learning lifecycle. this lesson teaches how to optimize ml models for fairness, explainability, and identify other responsible ai issues.

Introduction Responsible Ai Training Contribute to ruyakubu rai dashboard workshop development by creating an account on github. This workshop gives participants hands on learning on how to use the responsible ai to debug their machine learning model in order to improve the model's performance to be more fair, inclusive, safe & reliable, and transparent. This workshop gives participants hands on learning on how to use the responsible ai to debug their machine learning model in order to improve the model's performance to be more fair, inclusive, safe & reliable, and transparent. We'll be using azure cloud shell to create your azure machine learning workspace; as well as run the jobs to train and register your model. and finally, create the responsible ai dashboard that you'll be using in this workshop. to start, log into the azure portal with your account subscription.

Introduction Responsible Ai Training This workshop gives participants hands on learning on how to use the responsible ai to debug their machine learning model in order to improve the model's performance to be more fair, inclusive, safe & reliable, and transparent. We'll be using azure cloud shell to create your azure machine learning workspace; as well as run the jobs to train and register your model. and finally, create the responsible ai dashboard that you'll be using in this workshop. to start, log into the azure portal with your account subscription. Thank you for volunteering to be an instructor for this workshop. this is the instructor's guide for the azure machine learning's rai dashboard workshop. in this repository, you would find the following information: the workshop website: azure machine learning: responsible ai dashboard workshop. Description will go into a meta tag in . This workshop is for participants to get hands on learning on how to use the responsible ai dashboard to debug their machine learning model in order to improve the model's performance to be more fair, inclusive, safe & reliable, and transparent. The lab will walk you through the steps of training a model, deploying it and then use the dashboard to debug and assess the model for fairness, inclusiveness, transparency, accountability and reliability concerns.

Exercise 1 Build Workshop Environment Responsible Ai Training Thank you for volunteering to be an instructor for this workshop. this is the instructor's guide for the azure machine learning's rai dashboard workshop. in this repository, you would find the following information: the workshop website: azure machine learning: responsible ai dashboard workshop. Description will go into a meta tag in . This workshop is for participants to get hands on learning on how to use the responsible ai dashboard to debug their machine learning model in order to improve the model's performance to be more fair, inclusive, safe & reliable, and transparent. The lab will walk you through the steps of training a model, deploying it and then use the dashboard to debug and assess the model for fairness, inclusiveness, transparency, accountability and reliability concerns.