Shows
Data SkepticLessons from eGamer NetworksAlex Bisberg, a PhD candidate at the University of Southern California, specializes in network science and game analytics, with a focus on understanding social and competitive success in multiplayer online games. In this episode, listeners can expect to learn from a network perspective about players interactions and patterns of behavior. Through his research on games, Alex sheds light on how network analysis and statistical tests might explain positive contagious behaviors, such as generosity, and explore the dynamics of collaboration and competition in gaming environments. These insights offer valuable lessons not only for game developers in enhancing player ex...2024-11-1837 min
Data SkepticAligning Time Series on Incomparable SpacesAlex Terenin, Postdoctoral Research Associate at the University of Cambridge, joins us today to talk about his work "Aligning Time Series on Incomparable Spaces."2021-11-2233 min
Data SkepticLong Term Time Series ForecastingAlex Mallen, Computer Science student at the University of Washington, and Henning Lange, a Postdoctoral Scholar in Applied Math at the University of Washington, join us today to share their work "Deep Probabilistic Koopman: Long-term Time-Series Forecasting Under Periodic Uncertainties."2021-10-2537 min
Data SkepticVisual Illusions Deceiving Neural NetworksToday on the show we have Adrian Martin, a Post-doctoral researcher from the University of Pompeu Fabra in Barcelona, Spain. He comes on the show today to discuss his research from the paper “Convolutional Neural Networks can be Deceived by Visual Illusions.” Works Mentioned in Paper: “Convolutional Neural Networks can be Decieved by Visual Illusions.” by Alexander Gomez-Villa, Adrian Martin, Javier Vazquez-Corral, and Marcelo Bertalmio Examples: Snake Illusions https://www.illusionsindex.org/i/rotating-snakes Twitter: Alex: @alviur Adrian: @adriMartin13 Thanks to our sponsor! Keep...2021-01-0133 min
Journal ClubGoogle's New Data Engine, Activation Atlas, and LIMEGeorge discusses Google's Dataset Search leaving its closed beta program, and what potential applications it will have for businesses, scholars, and hobbyists. Alex brings an article about Activation Atlases and we discusses the applicability to machine learning interpretability. Lan leads a discussion about the paper Attention is not Explanation from Sarthak Jain and Byron C. Wallace. It explores the relationship between attention weights and feature importance scores (spoilers in the title). Kyle shamelessly promotes his blog post using LIME to explain a simple prediction model trained on Wikipedia data.2020-03-2200 minData SkepticServerless NLP Model TrainingAlex Reeves joins us to discuss some of the challenges around building a serverless, scalable, generic machine learning pipeline. The is a technical deep dive on architecting solutions and a discussion of some of the design choices made.2019-12-1029 min
Data SkepticServerless NLP Model TrainingAlex Reeves joins us to discuss some of the challenges around building a serverless, scalable, generic machine learning pipeline. The is a technical deep dive on architecting solutions and a discussion of some of the design choices made.2019-12-1029 min
Data SkepticML at Sloan Kettering Cancer CenterFor a long time, physicians have recognized that the tools they have aren't powerful enough to treat complex diseases, like cancer. In addition to data science and models, clinicians also needed actual products — tools that physicians and researchers can draw upon to answer questions they regularly confront, such as “what clinical trials are available for this patient that I'm seeing right now?” In this episode, our host Kyle interviews guests Alex Grigorenko and Iker Huerga from Memorial Sloan Kettering Cancer Center to talk about how data and technology can be used to prevent, control and ultimately cure cancer.2018-03-0238 min
Data SkepticML at Sloan Kettering Cancer CenterFor a long time, physicians have recognized that the tools they have aren't powerful enough to treat complex diseases, like cancer. In addition to data science and models, clinicians also needed actual products — tools that physicians and researchers can draw upon to answer questions they regularly confront, such as “what clinical trials are available for this patient that I'm seeing right now?” In this episode, our host Kyle interviews guests Alex Grigorenko and Iker Huerga from Memorial Sloan Kettering Cancer Center to talk about how data and technology can be used to prevent, control and ultimately cure cancer.2018-03-0238 minData SkepticThe Secret and the Global Consciousness Project with Alex Boklin I'm joined this week by Alex Boklin to explore the topic of magical thinking especially in the context of Rhonda Byrne's "The Secret", and the similarities it bears to The Global Consciousness Project (GCP). The GCP puts forward the hypothesis that random number generators elicit statistically significant changes as a result of major world events.2014-11-2141 min
Data SkepticThe Secret and the Global Consciousness Project with Alex BoklinI'm joined this week by Alex Boklin to explore the topic of magical thinking especially in the context of Rhonda Byrne's "The Secret", and the similarities it bears to The Global Consciousness Project (GCP). The GCP puts forward the hypothesis that random number generators elicit statistically significant changes as a result of major world events.2014-11-2141 min