This Week in Machine Learning & Artificial Intelligence (AI) Podcast
About This Show
This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI.
Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.Read more »
Most Recent Episode
Pragmatic Deep Learning for Medical Imagery with Prashant Warier - TWiML Talk #165
1 day ago
In this episode I'm joined by Prashant Warier, CEO and Co-Founder of Qure.ai, a company building AI-powered software for radiology. In our conversation, Prashant and I discuss the company’s work building products for interpreting head CT scans and chest x-rays. Prashant shares with us some great insights into some of the things he and his team have learned in bringing a commercial product to market in this space, including what the gap between academic research papers and commercially viable software, the challenge of data acquisition and how to best capitalize on what data you have access, and much more. We also touch on the application of transfer learning in this space, and the algorithms and annotation pipelines they’ve developed to support 3D scans. For the complete show notes, visit https://twimlai.com/talk/165.Read more »
Episodes of This Show
4 days ago
Rated 5 out of
I am a student in a small college that doesn't have much in terms of computer science, and my degree path is more focused on IT. I have become enamored with machine learning over the past year or so and listen to a lot of podcasts, both during downtime and while driving. This is one of the best I have come across and each episode I learn something new.
Date published: 2017-08-03