Mike E

Data Science Decoded

Science EN ↓ 33 episodes

We discuss seminal mathematical papers (sometimes really old 😎 ) that have shaped and established the fields of machine learning and data science as we know them today. The goal of the podcast is to introduce you to the evolution of these fields from a mathematical and slightly philosophical perspective. We will discuss the contribution of these papers, not just from pure a math aspect but also how they influenced the discourse in the field, which areas were opened up as a result, and so on. Our podcast episodes are also available on our youtube: https://youtu.be/wThcXx_vXjQ?si=vnMfs

Author

Mike E

Episodes

Data Science #8 - The Turing test by Turing Alan "Computing machinery and intelligence" Mind (1950) 04.09.2024 54:57

This paper is a foundational text in the field of artificial intelligence (AI) and explores the question: "Can machines think?" Turing introduces what is now known as the "Turing Test" as a way to operationalize this question, he called it the imitation game. Are there imaginable digital computers that could perform well in the imitation game? The imitation game involves an interrogator trying to...

Data Science #7 - "The use of multiple measurements in taxonomic problems." (1936), Fisher RA 12.08.2024 47:30

This paper introduced linear discriminant analysis(LDA), a statistical technique that revolutionized classification in biology and beyond. Fisher demonstrated how to use multiple measurements to distinguish between different species of iris flowers, laying the foundation for modern multivariate statistics. His work showed that combining several characteristics could provide more accurate classific...

Data Science #6 -"On the problem of the most efficient tests of statistical hypotheses." (1933) N&P 07.08.2024 56:32

This paper is considered one of the foundational works in modern statistical hypothesis testing. Key insights and influences: Neyman-Pearson Lemma: The paper introduced the Neyman-Pearson Lemma, which provides a method for finding the most powerful test for a simple hypothesis against a simple alternative. Type I and Type II errors: It formalized the concepts of Type I (false positive) and Type II...

Data Science #5 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 3 30.07.2024 1:07:22

Shannon, Claude Elwood. "A mathematical theory of communication." The Bell system technical journal 27.3 (1948): 379-423. Part 3/3. The paper fundamentally reshapes how we understand communication. The paper introduces a formal framework for analyzing communication systems, addressing the transmission of information with and without noise. Key concepts include the definition of information entropy...

Data Science #4 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 2 21.07.2024 41:11

Shannon, Claude Elwood. "A mathematical theory of communication." The Bell system technical journal 27.3 (1948): 379-423. Part 2/3. The paper fundamentally reshapes how we understand communication. The paper introduces a formal framework for analyzing communication systems, addressing the transmission of information with and without noise. Key concepts include the definition of information entropy...

Data Science #3 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 1 16.07.2024 41:04

Shannon, Claude Elwood. "A mathematical theory of communication." The Bell system technical journal 27.3 (1948): 379-423. Part 1/3. The paper fundamentally reshapes how we understand communication. The paper introduces a formal framework for analyzing communication systems, addressing the transmission of information with and without noise. Key concepts include the definition of information entropy...

Data Science #2 - "Application of the Logistic Function to Bio-Assays" (1944), Berkson Joseph 07.07.2024 1:01:29

"Application of the Logistic Function to Bio-Assays" (1944), Berkson Joseph It gained further prominence in the 20th century through applications in various fields, including biology and bio-assay. Joseph Berkson's 1944 paper, 'Application of the Logistic Function to Bio-Assay,' was pivotal in popularizing its use for estimating drug potency. Berkson argued that the logistic function was a more...

Data Science #1 - Fisher RA. "On the mathematical foundations of theoretical statistics"(1922) 07.07.2024 1:16:59

We discuss Ronald A. Fisher's paper "On the Mathematical Foundations of Theoretical Statistics"(1922), which profoundly shaped the field of statistics by establishing key concepts such as maximum likelihood estimation, which is crucial for parameter estimation in statistical models.