Data Noise Solutions
Parinaz emphasizes the challenges of data noise and its impact on machine learning models. She expresses a desire for actionable solutions rather than just discussions of problems, advocating for starting points that can lead to improvements in data reliability. Her perspective highlights the need for practitioners to have practical tools to address these issues.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Trust and AI with Parinaz Sobhani - TWiML Talk #208
Related Questions
Is data quality overlooked in machine learning as discussed in the episode Shreya Shankar: Machine Learning in the Real World and the clip Data Quality Challenges?
Is data quality overlooked in machine learning as discussed in the episode Machine Learning Done Wrong and the clip Uncovering Data Insights?
Is data quality overlooked in machine learning as discussed in the episode StarTalk Podcast: Cosmic Queries – Rise of the Machines with Matt Ginsberg and the clip Data Overload Dilemmas?