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.
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 fieldProfessor 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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https://x.com/0xPFLKeywords: mathematics, math, game theory, calculus, linear algebra, category theory, signal processing, statistics, probability, solo auditor, public auditing platforms, private audits, scalability, freedom, Scraping Bits podcast, blockchain technology, audit industry, flashbots, reverse engineering, cybersecurity, infosec, mev, mev bot, quant.