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

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

Today we’re joined by Daphne Koller, co-Founder and former co-CEO of Coursera and Founder and CEO of Insitro. In our conversation, discuss the current landscape of pharmaceutical drugs and drug discovery, including the current pricing of drugs, and an overview of Insitro’s goal of using ML as a “compass” in drug discovery. We also explore how Insitro functions as a company, their focus on the biology of drug discovery and the landscape of ML techniques being used, Daphne’s thoughts on AutoML, and

Jaksot(778)

Advancements in Machine Learning with Sergey Levine - #355

Advancements in Machine Learning with Sergey Levine - #355

Today we're joined by Sergey Levine, an Assistant Professor at UC Berkeley. We last heard from Sergey back in 2017, where we explored Deep Robotic Learning. Sergey and his lab’s recent efforts have be...

9 Maalis 202043min

Secrets of a Kaggle Grandmaster with David Odaibo - #354

Secrets of a Kaggle Grandmaster with David Odaibo - #354

Imagine spending years learning ML from the ground up, from its theoretical foundations, but still feeling like you didn’t really know how to apply it. That’s where David Odaibo found himself in 2015,...

5 Maalis 202041min

NLP for Mapping Physics Research with Matteo Chinazzi - #353

NLP for Mapping Physics Research with Matteo Chinazzi - #353

Predicting the future of science, particularly physics, is the task that Matteo Chinazzi, an associate research scientist at Northeastern University focused on in his paper Mapping the Physics Researc...

2 Maalis 202035min

Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352

Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352

The unfortunate reality is that many of the most commonly used machine learning metrics don't account for the complex trade-offs that come with real-world decision making. This is one of the challenge...

27 Helmi 202056min

High-Dimensional Robust Statistics with Ilias Diakonikolas - #351

High-Dimensional Robust Statistics with Ilias Diakonikolas - #351

Today we’re joined by Ilias Diakonikolas, faculty in the CS department at the University of Wisconsin-Madison, and author of the paper Distribution-Independent PAC Learning of Halfspaces with Massart ...

24 Helmi 202036min

How AI Predicted the Coronavirus Outbreak with Kamran Khan - #350

How AI Predicted the Coronavirus Outbreak with Kamran Khan - #350

Today we’re joined by Kamran Khan, founder & CEO of BlueDot, and professor of medicine and public health at the University of Toronto. BlueDot has been the recipient of a lot of attention for being th...

19 Helmi 202051min

Turning Ideas into ML Powered Products with Emmanuel Ameisen - #349

Turning Ideas into ML Powered Products with Emmanuel Ameisen - #349

Today we’re joined by Emmanuel Ameisen, machine learning engineer at Stripe, and author of the recently published book “Building Machine Learning Powered Applications; Going from Idea to Product.” In ...

17 Helmi 202042min

Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348

Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348

Today we’re joined by Abeba Birhane, PhD Student at University College Dublin and author of the recent paper Algorithmic Injustices: Towards a Relational Ethics, which was the recipient of the Best Pa...

13 Helmi 202041min

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