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Scraping Bits

Latest episodes

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Nov 13, 2024 • 2h 43min

#116 - Justin Skycak: Essential Math For Machine Learning, Math Intuition + Creativity, Proof Vs Computation

Justin Skycak, an expert in machine learning and responsible for developing interactive courses, shares insights on the vital interplay of math and creativity in problem-solving. He discusses the importance of foundational math for success in machine learning and emphasizes the need for structured and engaging educational resources. Skycak highlights personal experiences, touching on the emotional trials faced by educators and students alike, and advocates for curiosity-driven learning to enhance retention and enjoyment in mathematics.
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10 snips
Nov 9, 2024 • 2h 41min

#115 - Jason Roberts: The Fastest Way To Learn Math Up To Machine Learning In History

In this engaging discussion, Jason Roberts, founder of Math Academy and former CTO candidate at Uber, shares his revolutionary insights into math education. He explains how an AI-powered approach can bridge the gap from basic math to machine learning. Roberts emphasizes the importance of consistency and structured learning, akin to athletic training. He also addresses the need for effective morning routines to boost academic performance and the significance of maintaining high standards in education, particularly for aspiring AI professionals.
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Oct 29, 2024 • 1h 25min

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

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! Follow Scraping Bits on Twitter: ⁠⁠https://x.com/scrapingbits⁠⁠ Your Host, DeGatchi: ⁠⁠https://x.com/DeGatchi⁠⁠ Guest Speaker: ⁠⁠https://x.com/⁠pseudomanifold Please support this podcast by checking out our sponsors: ⁠⁠https://x.com/ComposableFin⁠⁠ ⁠⁠https://x.com/mevdotio⁠⁠ ⁠⁠https://x.com/0xPFL⁠⁠ Keywords: 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.
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Oct 24, 2024 • 1h 26min

#113 - Jonathan Whitmore: Ad Auction Game Theory, Astrophysics, Learning Math Effectively

Discover the latest episode of Scraping Bits by DeGatchi, where we dive deep into the intriguing world of ad auction game theory, astrophysics, and effective math learning with our guest, Jonathan Whitmore. In Episode #113, Jonathan shares his expertise on how game theory shapes ad auctions, revealing the strategies that drive online advertising success. We explore the fascinating connections between astrophysics and data analysis, highlighting how principles from the cosmos can inform our understanding of complex systems. Additionally, Jonathan offers valuable insights on learning mathematics effectively, making this episode a must-listen for students, educators, and anyone eager to enhance their mathematical skills. Join us for an enlightening conversation that bridges technology, science, and education. Whether you're a data enthusiast, a math learner, or simply curious about the intersection of these fields, this episode has something for everyone! Follow Scraping Bits on Twitter: ⁠⁠https://x.com/scrapingbits⁠⁠ Your Host, DeGatchi: ⁠⁠https://x.com/DeGatchi⁠⁠ Guest Speaker: ⁠⁠https://x.com/jbwhitmore Please support this podcast by checking out our sponsors: ⁠⁠https://x.com/ComposableFin⁠⁠ ⁠⁠https://x.com/mevdotio⁠⁠ ⁠⁠https://x.com/0xPFL⁠⁠ Keywords: 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.
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Oct 21, 2024 • 1h 10min

#112 - Jeffrey Scholz: Computatial Complexy + Optimization Theory, Math After University, Zero Knowledge Proofs

Dive into the cutting-edge world of computer science and mathematics with Scraping Bits by DeGatchi in Episode #112, featuring the brilliant Jeffrey Scholz. This episode is a must-listen for tech enthusiasts, aspiring computer scientists, and anyone passionate about the intersection of mathematics and technology. Key Topics Explored: Computational Complexity and Optimization Theory: Unravel the mysteries behind algorithm efficiency and problem-solving techniques that power modern computing. Mathematics Beyond University: Discover how to continue your mathematical journey post-graduation and apply advanced concepts in real-world scenarios. Zero Knowledge Proofs: Delve into this fascinating cryptographic concept that's revolutionizing blockchain technology and digital privacy. Tune in to Scraping Bits and stay ahead in the ever-evolving tech landscape! Follow Scraping Bits on Twitter: ⁠⁠https://x.com/scrapingbits⁠⁠ Your Host, DeGatchi: ⁠⁠https://x.com/DeGatchi⁠⁠ Guest Speaker: ⁠⁠https://x.com/⁠jeyffre Please support this podcast by checking out our sponsors: ⁠⁠https://x.com/ComposableFin⁠⁠ ⁠⁠https://x.com/mevdotio⁠⁠ ⁠⁠https://x.com/0xPFL⁠⁠ Keywords: 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.
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Oct 17, 2024 • 1h 5min

#111 - Ruben du Burck: Understanding Math, Agebraic Geometry, Category Theory

Ruben du Burck, a programmer and mathematician in the crypto space, dives into the fascinating world of math and its applications. He shares insights on the creative journey of learning mathematics, the challenges of self-directed study, and the disconnect between the theoretical and practical realms. The discussion highlights category theory's role in simplifying complex ideas and interconnections between algebra, geometry, and topology. Ruben also addresses the evolving landscape of math education and how innovative approaches can transform learning for future generations.
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Oct 17, 2024 • 1h 16min

#110 - GoKanni: Chaotic Signal Processing, Weather Forecasting ML, Information Theory

Follow Scraping Bits on Twitter: ⁠⁠https://x.com/scrapingbits⁠⁠ Host, DeGatchi: ⁠⁠https://x.com/DeGatchi⁠⁠ Guest: ⁠⁠https://x.com/⁠GoKanni1 Please support this podcast by checking out our sponsors: ⁠⁠https://x.com/ComposableFin⁠⁠ ⁠⁠https://x.com/mevdotio⁠⁠ ⁠⁠https://x.com/0xPFL⁠⁠ Keywords: 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.
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4 snips
Oct 11, 2024 • 1h 9min

#109 - Noah Silverman: Complex System Statistical Modeling, Decisions Under Uncertainty, Probabilities Of Probabilities

Noah Silverman, a PhD in applied statistics from UCLA, shares his journey from entrepreneurship to a successful career in statistics and machine learning. He discusses the significance of real data in modeling complex systems and the art of probabilistic thinking in decision-making. Noah dives into stochastic processes, gambling strategies, and the importance of statistical distributions like the Gaussian. He emphasizes foundational knowledge in linear algebra and calculus while also addressing technology addiction and the benefits of meditation for focus and self-acceptance.
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Oct 8, 2024 • 1h 17min

#108 - Dan Palombi: Applied Topos, Category, Synthetic Domain, Type Theory, Multi-Agent Game Theory, Compsci Mathematician

Follow Scraping Bits on Twitter: ⁠https://x.com/scrapingbits⁠ Your Host, DeGatchi: ⁠https://x.com/DeGatchi⁠ Guest Speaker: ⁠https://x.com/⁠dpl0a Please support this podcast by checking out our sponsors: ⁠https://x.com/ComposableFin⁠ ⁠https://x.com/mevdotio⁠ ⁠https://x.com/0xPFL⁠ Keywords: 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.
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Oct 1, 2024 • 1h 38min

#107 - Justin Skycak: Proof Writing, Discovering Math, Expert Systems, Learning Math Like A Language

Justin Skycak, Chief Quant Director at mathacademy.com, shares insights on revolutionizing math education. He emphasizes the importance of proof writing, paralleling it to programming for error elimination. The conversation dives into fostering genuine passion in learners and the positive impact of social norms on collaborative learning. Justin also discusses designing innovative AI systems for personalized education, tackling review challenges, and approaching math as a language, stressing the need for foundational skills to succeed.

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