Data Skeptic

Kyle Polich
  • 4.4 (465)
  • TECHNOLOGY
  • UPDATED BIWEEKLY
Data Skeptic

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.

  1. Graphs and ML for Robotics

    5 DAYS AGO

    Graphs and ML for Robotics

    We are joined by Abhishek Paudel, a PhD Student at George Mason University with a research focus on robotics, machine learning, and planning under uncertainty, using graph-based methods to enhance robot behavior. He explains how graph-based approaches can model environments, capture spatial relationships, and provide a framework for integrating multiple levels of planning and decision-making.

    42 min
  2. Graphs for HPC and LLMs

    OCT 29

    Graphs for HPC and LLMs

    We are joined by Maciej Besta, a senior researcher of sparse graph computations and large language models at the Scalable Parallel Computing Lab (SPCL). In this episode, we explore the intersection of graph theory and high-performance computing (HPC), Graph Neural Networks (GNNs) and LLMs.

    52 min
  3. Graph Databases and AI

    OCT 21

    Graph Databases and AI

    In this episode, we sit down with Yuanyuan Tian, a principal scientist manager at Microsoft Gray Systems Lab, to discuss the evolving role of graph databases in various industries such as fraud detection in finance and insurance, security, healthcare, and supply chain optimization.

    36 min
  4. Network Analysis in Practice

    OCT 14

    Network Analysis in Practice

    Our new season "Graphs and Networks" begins here!  We are joined by new co-host Asaf Shapira, a network analysis consultant and the podcaster of NETfrix – the network science podcast. Kyle and Asaf discuss ideas to cover in the season and explore Asaf's work in the field.

    30 min
  5. Animal Intelligence Final Exam

    OCT 7

    Animal Intelligence Final Exam

    Join us for our capstone episode on the Animal Intelligence season. We recap what we loved, what we learned, and things we wish we had gotten to spend more time on. This is a great episode to see how the podcast is produced. Now that the season is ending, our current co-host, Becky, is moving to emeritus status. In this last installment we got to spend a little more time getting to know Becky and where her work will take her after this. Did Data Skeptic inspire her to learn more about machine learning? Tune in and find out.

    30 min
  6. Process Mining with LLMs

    SEP 24

    Process Mining with LLMs

    David Obembe, a recent University of Tartu graduate, discussed his Masters thesis on integrating LLMs with process mining tools. He explained how process mining uses event logs to create maps that identify inefficiencies in business processes. David shared his research on LLMs' potential to enhance process mining, including experiments evaluating their performance and future improvements using Retrieval Augmented Generation (RAG).

    26 min
  7. Open Animal Tracks

    SEP 17

    Open Animal Tracks

    Our guest today is Risa Shinoda, a PhD student at Kyoto University Agricultural Systems Engineering Lab, where she applies computer vision techniques. She talked about the OpenAnimalTracks dataset and what it was used for. The dataset helps researchers predict animal footprint. She also discussed how she built a model for predicting tracks of animals. She shared the algorithms used and the accuracy they achieved. She also discussed further improvement opportunities for the model.

    23 min
  8. Bird Distribution Modeling with Satbird

    SEP 10

    Bird Distribution Modeling with Satbird

    This episode features an interview with Mélisande Teng, a PhD candidate at Université de Montréal. Her research lies in the intersection of remote sensing and computer vision for biodiversity monitoring.

    40 min
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Hosts & Guests

4.4
out of 5
465 Ratings

About

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.

Information

  • Creator
    Kyle Polich
  • Years Active
    2014 - 2024
  • Episodes
    552
  • Rating
    Clean
  • Copyright
    © Creative Commons Attribution License 3.0
  • Show Website
    Data Skeptic

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