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Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332

Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
43 minutes
Released:
Dec 26, 2019
Format:
Podcast episode

Description

Today we continue our 2019 NeurIPS coverage joined by Daphne Koller, co-Founder and former co-CEO of Coursera and Founder and CEO of Insitro. We caught up with Daphne to discuss:  Her background in machine learning, beginning in ‘93, and her work with the Stanford online machine learning courses, and eventually her work at Coursera. The current landscape of pharmaceutical drug discovery, including the current pricing of drugs and misnomers with why drugs are so expensive,  Her work at Insitro, a company looking to advance drug discovery and development with machine learning.  An overview of Insitro’s goal of using ML as a “compass” in drug discovery.  How Insitro functions as a company in this space, including their focus on the biology of drug discovery and the landscape of ML techniques being used Daphne’s thoughts on AutoML, and much more! The full show notes for this episode can be found at twimlai.com/talk/332. Make sure you head over to twimlai.com/neurips2019 to follow along with this series!
Released:
Dec 26, 2019
Format:
Podcast episode

Titles in the series (100)

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.