524 episodes

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

Data Skeptic Kyle Polich

    • Technology
    • 4.5 • 479 Ratings

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

    Modeling Group Behavior

    Modeling Group Behavior

    Our guest in this episode is Sebastien Motsch, an assistant professor at Arizona State University, working in the School of Mathematical and Statistical Science. He works on modeling self-organized biological systems to understand how complex patterns emerge.

    • 40 min
    Advances in Data Loggers

    Advances in Data Loggers

    Our guest in this episode is Ryan Hanscom. Ryan is a Ph.D. candidate in a joint doctoral evolution program at San Diego State University and the University of California, Riverside. He is a terrestrial ecologist with a focus on herpetology and mammalogy.  Ryan discussed how the behavior of rattlesnakes is studied in the natural world, particularly with an increase in temperature.

    • 35 min
    What You Know About Intelligence is Wrong (fixed)

    What You Know About Intelligence is Wrong (fixed)

    We are joined by Hank Schlinger, a professor of psychology at California State University, Los Angeles. His research revolves around theoretical issues in psychology and behavioral analysis.  Hank establishes that words have references and questions the reference for intelligence. He discussed how intelligence can be observed in animals. He also discussed how intelligence is measured in a given context.

    • 41 min
    Animal Decision Making

    Animal Decision Making

    On today’s episode, we are joined by Aimee Dunlap. Aimee is an assistant professor at the University of Missouri–St. Louis and the interim director at the Whitney R. Harris World Ecology Center.
    Aimee discussed how animals perceive information and what they use it for. She discussed the connection between their environment and learning for decision-making. She also discussed the costs required for learning and factors that affect animal learning.

    • 37 min
    Octopus Cognition

    Octopus Cognition

    We are joined by Tamar Gutnick, a visiting professor at the University of Naples Federico II, Napoli, Italy. She studies the octopus nervous system and their behavior, focusing on cognition and learning behaviors.
    Tamar gave a background to the kind of research she does — lab research. She discussed some challenges with observing octopuses in the lab. She discussed some patterns observed by the octopus lifestyle in a controlled setting.
    Tamar discussed what they know about octopus intelligence. She discussed the octopus nervous system and why they are unique compared to other animals. She discussed how they measure the behavior of octopuses using a video recording and a logger to track brain activity.

    • 38 min
    Optimal Foraging

    Optimal Foraging

    Claire Hemmingway, an assistant professor in the Department of Psychology and Ecology and Evolutionary Biology at the University of Tennessee in Knoxville, is our guest today. Her research is on decision-making in animal cognition, focusing on neotropical bats and bumblebees.
    Claire discussed how bumblebees make foraging decisions and how they communicate when foraging. She discussed how they set up experiments in the lab to address questions about bumblebees foraging. She also discussed some nuances between bees in the lab and those in the wild.
    Claire discussed factors that drive an animal's foraging decisions. She explained the foraging theory and how a colony works together to optimize its foraging. She also touched on some irrational foraging behaviors she observed in her study.
    Claire discussed some techniques bees use to learn from past behaviors. She discussed the effect of climate change on foraging bees' learning behavior.
    Claire discussed how bats respond to calling frogs when foraging. She also spoke about choice overload in that they make detrimental decisions when loaded with too many options.

    • 38 min

Customer Reviews

4.5 out of 5
479 Ratings

479 Ratings

calzone.onsets ,

Great resource

A colleague introduced me to Data Skeptic last year and I’ve been enjoying the episodes. Kyle’s good at covering topics from many levels of data science understanding—his mini series with a non-data scientist are a great way to learn the basics!

joey...1989 ,

Data science

Lots of interviews

Steveo CO ,

Amazing

I have been following for a few months now. If you’re looking for a wide perspective on big data and AI, this is the place. Kyle has a wide knowledge base, he’s not focused on a simple thing, rather, he explores multiple models, to help with research. His guests are amazing. I can’t wait to be invited to appear on the show to discuss standard operations for an average guy doing signs and lighting.

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