EPISODE · Apr 26, 2021 · 40 MIN
Pandemic Machine Learning Pitfalls
from Data Skeptic
Today on the show Derek Driggs, a PhD Student at the University of Cambridge. He comes on to discuss the work Common Pitfalls and Recommendations for Using Machine Learning to Detect and Prognosticate for COVID-19 Using Chest Radiographs and CT Scans. Help us vote for the next theme of Data Skeptic! Vote here: https://dataskeptic.com/vote
Embed this episode
Ready to play
Pandemic Machine Learning Pitfalls
0:00
40:17
1×
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
AI Daily News Podcast
Really Easy AI
AI Daily News: Your premier source for cutting-edge artificial intelligence updates! Dive into the world of machine learning, deep learning, and data science with our daily tech briefings. From neural networks to natural language processing, we cover groundbreaking AI research, innovative applications, and industry trends. Explore the latest in computer vision, robotics, autonomous systems, and the Internet of Things. Stay informed on AI ethics, machine learning algorithms, and the transformative impact of AI on business, healthcare, and society. https://www.youtube.com/@AINewsFresh
Gytis Tech Podcast
Inretio
Data professional and tech enthusiast from Lithuania, covering tech topics including open source software, smart home automation, web development, automotive diagnostics and more.
Frequently Asked Questions
How long is this episode of Data Skeptic?
This episode is 40 minutes long.
When was this Data Skeptic episode published?
This episode was published on April 26, 2021.
Can I download this Data Skeptic episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!