Shows

    Taskonomy: Disentangling Transfer Learning for Perception (CVPR 2018 Best Paper Winner) with Amir Zamir
    800 800 This Week in Machine Learning & AI

    In this episode I’m joined by Amir Zamir, Postdoctoral researcher at both Stanford & UC Berkeley. Subscribe: iTunes / Google Play / Spotify / RSS Amir joins us fresh off of winning the 2018 CVPR Best Paper Award for co-authoring “Taskonomy: Disentangling Task Transfer Learning.” In this work, Amir and his coauthors explore the relationships…

    Predicting Metabolic Pathway Dynamics w/ Machine Learning with Zak Costello
    800 800 This Week in Machine Learning & AI

    In today’s episode I’m joined by Zak Costello, post-doctoral fellow at the Joint BioEnergy Institute.

    Machine Learning to Discover Physics and Engineering Principles with Nathan Kutz
    800 800 This Week in Machine Learning & AI

    In this episode, I’m joined by Nathan Kutz, Professor of applied mathematics, electrical engineering and physics at the University of Washington.

    Automating Complex Internal Processes w/ AI with Alexander Chukovski
    800 800 This Week in Machine Learning & AI

    In this episode I’m joined by Alexander Chukovski, Director of Data Services at Munich, Germany based career platform, Experteer.

    Designing Better Sequence Models with RNNs with Adji Bousso Dieng
    800 800 This Week in Machine Learning & AI

    In this episode, i’m joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University.

    Love Love: AI and ML in Tennis with Stephanie Kovalchik
    800 800 This Week in Machine Learning & AI

    In this, 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.

    Growth Hacking Sports w/ Machine Learning with Noah Gift
    800 800 This Week in Machine Learning & AI

    In this episode of our AI in Sports series I’m joined by Noah Gift, Founder and Consulting CTO at Pragmatic AI Labs and professor at UC Davis.

    Fine-Grained Player Prediction in Sports with Jennifer Hobbs
    800 800 This Week in Machine Learning & AI

    In this episode of the series, I’m joined by Jennifer Hobbs, Senior Data Scientist at STATS, a collector and distributor of sports data, covering sports like basketball, soccer, American football and rugby.

    Targeted Ticket Sales Using ML for the Portland Trail Blazers w/ Mike Schumacher & Chenhui Hu
    800 800 This Week in Machine Learning & AI

    In today’s episode of our AI in Sports series I’m joined by Mike Schumacher, director of business analytics for the Portland Trail Blazers, and Chenhui Hu, a data scientist at Microsoft.

    AI for Athlete Optimization with Sinead Flahive
    800 800 This Week in Machine Learning & AI

    In this episode of our AI in Sports series, I’m joined by Sinead Flahive, data scientist at Dublin, Ireland based Kitman Labs.

    Omni-Channel Customer Experiences with Vince Jeffs
    800 800 This Week in Machine Learning & AI

    In this, the final episode of our PegaWorld series I’m joined by Vince Jeffs, Senior Director of Product Strategy for AI and Decisioning at Pegasystems.

    Workforce Intelligence for Automation & Productivity with Michael Kempe
    800 800 This Week in Machine Learning & AI

    In this episode of our PegaWorld series, I’m joined by Michael Kempe, chief operating officer at global share registry and financial services provider Link Market Services.

    Data Platforms for Decision Automation at Scotiabank with Jim Saleh
    800 800 This Week in Machine Learning & AI

    In this show, part of our PegaWorld 18 series, I’m joined by Jim Saleh, Senior Director of process and decision automation at Scotiabank.

    Towards the Self-Driving Enterprise with Kirk Borne
    800 800 This Week in Machine Learning & AI

    In this show, the first of our PegaWorld 18 series, I’m joined by Kirk Borne, Principal Data Scientist at management consulting firm Booz Allen Hamilton.

    How a Global Energy Company Adopts ML & AI with Nicholas Osborn
    800 800 This Week in Machine Learning & AI

    On today’s show I’m excited to share this interview with Nick Osborn, a longtime listener of the show and Leader of the Global Machine Learning Project Management Office at AES Corporation, a Fortune 200 power company.

    Problem Formulation for Machine Learning with Romer Rosales
    800 800 This Week in Machine Learning & AI

    In this episode, we’re joined by Romer Rosales, Director of AI at LinkedIn.

    AI for Materials Discovery with Greg Mulholland
    800 800 This Week in Machine Learning & AI

    In this episode I’m joined by Greg Mulholland, Founder and CEO of Citrine Informatics, which is applying AI to the discovery and development of new materials.

    Data Innovation & AI at Capital One with Adam Wenchel
    800 800 This Week in Machine Learning & AI

    In this episode I’m joined by Adam Wenchel, vice president of AI and Data Innovation at Capital One, to discuss how Machine Learning & AI are being integrated into their day-to-day practices, and how those advances benefit the customer.

    Deep Gradient Compression for Distributed Training with Song Han
    800 800 This Week in Machine Learning & AI

    On today’s show I chat with Song Han, assistant professor in MIT’s EECS department, about his research on Deep Gradient Compression.

    Masked Autoregressive Flow for Density Estimation with George Papamakarios
    800 800 This Week in Machine Learning & AI

    In this episode, University of Edinburgh Phd student George Papamakarios and I discuss his paper “Masked Autoregressive Flow for Density Estimation.”