Data Science Decoded

Data Science Decoded

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

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Jaksot(33)

Data Science #9 - The Unreasonable Effectiveness of Mathematics in Natural Sciences, Eugene Wigner

Data Science #9 - The Unreasonable Effectiveness of Mathematics in Natural Sciences, Eugene Wigner

In this special episode, Daniel Aronovich joins forces with the 632 nm podcast. In this timeless paper Wigner reflects on how mathematical concepts, often developed independently of any concern for t...

10 Syys 20241h 24min

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

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

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 o...

4 Syys 202454min

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

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

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 dis...

12 Elo 202447min

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

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

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, whi...

7 Elo 202456min

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

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

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. ...

30 Heinä 20241h 7min

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

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

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. ...

21 Heinä 202441min

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

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

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. ...

16 Heinä 202441min

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

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

"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. Jo...

7 Heinä 20241h 1min

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