Jan. 22, 2020 – In this webinar led by Microsoft researcher Jenn Wortman Vaughan, explore how to best incorporate transparency into the machine learning life cycle. Here, we will explore these three components of transparency (with examples): traceability, communication, and intelligibility.
The post Transparency and Intelligibility Throughout the Machine Learning Life Cycle Webinar appeared first on Microsoft Research.
Jan. 22, 2020 – In this webinar led by Microsoft researcher Jenn Wortman Vaughan, explore how to best incorporate transparency into the machine learning life cycle. Here, we will explore these three components of transparency (with examples): traceability, communication, and intelligibility.
The post Transparency and Intelligibility Throughout the Machine Learning Life Cycle Webinar appeared first on Microsoft Research.
by: Jeff Running via https://www.AiUpNow.com/
