Scraping Bits

#114 - Bastian Grossenbacher-Rieck: Topological Machine Learning + Topological Data Analysis Professor


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In this mind-bending episode of Scraping Bits, host DeGatchi sits

down with Professor Bastian Grossenbacher-Rieck to explore the
fascinating intersection of topology and machine learning.

Key topics covered:

  • Introduction to topological machine learning and its applications
  • How topological data analysis can uncover hidden patterns in complex datasets
  • The mathematical foundations of persistent homology
  • Real-world use cases of topological methods in data science and AI
  • Challenges and future directions in this emerging field
  • Professor Grossenbacher-Rieck breaks down complex concepts into

    digestible explanations, making cutting-edge research accessible to
    listeners. Whether you're a data scientist, AI researcher, or just
    curious about advanced analytics, this episode offers valuable insights
    into how topology is reshaping our approach to machine learning and data
    analysis.Tune in for an intellectually stimulating discussion that will
    expand your understanding of the latest developments in data science and
    artificial intelligence. Don't miss this opportunity to learn from one
    of the leading experts in topological machine learning!


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        Scraping BitsBy DeGatchi