Media Summary: Introducing a framework to think about ML, Research talk by Professor Virginia Smith. Learn principles and best practices for auditing ML models for

Fairness Indicators For Tensorflow Tf - Detailed Analysis & Overview

Introducing a framework to think about ML, Research talk by Professor Virginia Smith. Learn principles and best practices for auditing ML models for Talk given on Dec 2, 2020 for the internal Harvard offering of the Intro to TinyML course. Tulsee Doshi is the product lead for ... A model is always somewhat bias. Is it unfair? This is the subject of this video. To discuss this subject, we welcome back Eric ...

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Fairness Indicators for TensorFlow (TF Dev Summit '20)
Beyond evaluation: Improving fairness with Model Remediation | Demo
Responsible AI with TensorFlow (TF Dev Summit '20)
Machine Learning Fairness: Lessons Learned (Google I/O'19)
Large-scale ML: accuracy, efficiency, fairness
Machine Learning Crash Course: Fairness
TensorFlow in 100 Seconds
Fairness Criteria, Exploring Fairness in Machine Learning
"Responsible AI with TensorFlow" by Tulsee Doshi (Google)
TensorFlow Extended (TF Dev Summit '20)
Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)
067-Model Fairness
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Fairness Indicators for TensorFlow (TF Dev Summit '20)

Fairness Indicators for TensorFlow (TF Dev Summit '20)

Within this

Beyond evaluation: Improving fairness with Model Remediation | Demo

Beyond evaluation: Improving fairness with Model Remediation | Demo

Fairness

Responsible AI with TensorFlow (TF Dev Summit '20)

Responsible AI with TensorFlow (TF Dev Summit '20)

Introducing a framework to think about ML,

Machine Learning Fairness: Lessons Learned (Google I/O'19)

Machine Learning Fairness: Lessons Learned (Google I/O'19)

ML

Large-scale ML: accuracy, efficiency, fairness

Large-scale ML: accuracy, efficiency, fairness

Research talk by Professor Virginia Smith.

Machine Learning Crash Course: Fairness

Machine Learning Crash Course: Fairness

Learn principles and best practices for auditing ML models for

TensorFlow in 100 Seconds

TensorFlow in 100 Seconds

TensorFlow

Fairness Criteria, Exploring Fairness in Machine Learning

Fairness Criteria, Exploring Fairness in Machine Learning

MIT RES.EC-001 Exploring

"Responsible AI with TensorFlow" by Tulsee Doshi (Google)

"Responsible AI with TensorFlow" by Tulsee Doshi (Google)

Talk given on Dec 2, 2020 for the internal Harvard offering of the Intro to TinyML course. Tulsee Doshi is the product lead for ...

TensorFlow Extended (TF Dev Summit '20)

TensorFlow Extended (TF Dev Summit '20)

TensorFlow

Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)

Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)

The

067-Model Fairness

067-Model Fairness

A model is always somewhat bias. Is it unfair? This is the subject of this video. To discuss this subject, we welcome back Eric ...

Product fairness testing for Machine Learning developers

Product fairness testing for Machine Learning developers

Product