Can We Trust Scientific Discoveries Made Using Machine Learning? with Genevera Allen - TWiML Talk #266

Can We Trust Scientific Discoveries Made Using Machine Learning? with Genevera Allen - TWiML Talk #266

Today we’re joined by Genevera Allen, associate professor of statistics in the EECS Department at Rice University. Genevera caused quite the stir at the American Association for the Advancement of Science meeting earlier this year with her presentation “Can We Trust Data-Driven Discoveries?" In our conversation, we discuss the goal of Genevera's talk, the issues surrounding reproducibility in Machine Learning, and much more!

Episoder(779)

Taskonomy: Disentangling Transfer Learning for Perception (CVPR 2018 Best Paper Winner) with Amir Zamir - TWiML Talk #164

Taskonomy: Disentangling Transfer Learning for Perception (CVPR 2018 Best Paper Winner) with Amir Zamir - TWiML Talk #164

In this episode I'm joined by Amir Zamir, Postdoctoral researcher at both Stanford & UC Berkeley, who joins us fresh off of winning the 2018 CVPR Best Paper Award for co-authoring "Taskonomy: Disentan...

16 Jul 201847min

Predicting Metabolic Pathway Dynamics w/ Machine Learning with Zak Costello - TWiML Talk #163

Predicting Metabolic Pathway Dynamics w/ Machine Learning with Zak Costello - TWiML Talk #163

In today’s episode I’m joined by Zak Costello, post-doctoral fellow at the Joint BioEnergy Institute to discuss his recent paper, “A machine learning approach to predict metabolic pathway dynamics fro...

11 Jul 201839min

Machine Learning to Discover Physics and Engineering Principles with Nathan Kutz - TWiML Talk #162

Machine Learning to Discover Physics and Engineering Principles with Nathan Kutz - TWiML Talk #162

In this episode, I’m joined by Nathan Kutz, Professor of applied mathematics, electrical engineering and physics at the University of Washington to discuss his research into the use of machine learnin...

9 Jul 201843min

Automating Complex Internal Processes w/ AI with Alexander Chukovski - TWiML Talk #161

Automating Complex Internal Processes w/ AI with Alexander Chukovski - TWiML Talk #161

In this episode, I'm joined by Alexander Chukovski, Director of Data Services at Munich, Germany based career platform, Experteer. In our conversation, we explore Alex’s journey to implement machine l...

5 Jul 201839min

Designing Better Sequence Models with RNNs with Adji Bousso Dieng - TWiML Talk #160

Designing Better Sequence Models with RNNs with Adji Bousso Dieng - TWiML Talk #160

In this episode, I'm joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University to discuss two of her recent papers, “Noisin: Unbiased Regularization for Recurrent...

2 Jul 201838min

Love Love: AI and ML in Tennis with Stephanie Kovalchik - TWiML Talk #159

Love Love: AI and ML in Tennis with Stephanie Kovalchik - TWiML Talk #159

In the final show in our AI in Sports series, I’m joined by Stephanie Kovalchik, Research Fellow at Victoria University and Senior Sports Scientist at Tennis Australia. In our conversation we discuss...

29 Jun 201846min

Growth Hacking Sports w/ Machine Learning with Noah Gift - TWiML Talk #158

Growth Hacking Sports w/ Machine Learning with Noah Gift - TWiML Talk #158

In this episode of our AI in Sports series I'm joined by Noah Gift, Founder and Consulting CTO at Pragmatic Labs and professor at UC Davis. Noah and I discuss some of his recent work in using social m...

28 Jun 201850min

Fine-Grained Player Prediction in Sports with Jennifer Hobbs - TWiML Talk #157

Fine-Grained Player Prediction in Sports with Jennifer Hobbs - TWiML Talk #157

In this episode of our AI in Sports series, I'm joined by Jennifer Hobbs, Senior Data Scientist at STATS, a collector and distributor of sports data, to discuss the STATS data pipeline and how they co...

27 Jun 201842min

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