33 Avsnitt

  1. Data Science #13 - Kolmogorov complexity paper review (1965) - Part 2

    Publicerades: 2024-10-01
  2. Data Science #12 - Kolmogorov complexity paper review (1965) - Part 1

    Publicerades: 2024-09-28
  3. Data Science #11 - The original Perceptron paper by Frank Rosenblatt (1958)

    Publicerades: 2024-09-20
  4. Data Science #10 - The original principal component analysis (PCA) paper by Harold Hotelling (1935)

    Publicerades: 2024-09-12
  5. Data Science #9 - The Unreasonable Effectiveness of Mathematics in Natural Sciences, Eugene Wigner

    Publicerades: 2024-09-10
  6. Data Science #8 - The Turing test by Turing Alan "Computing machinery and intelligence" Mind (1950)

    Publicerades: 2024-09-04
  7. Data Science #7 - "The use of multiple measurements in taxonomic problems." (1936), Fisher RA

    Publicerades: 2024-08-12
  8. Data Science #6 -"On the problem of the most efficient tests of statistical hypotheses." (1933) N&P

    Publicerades: 2024-08-07
  9. Data Science #5 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 3

    Publicerades: 2024-07-30
  10. Data Science #4 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 2

    Publicerades: 2024-07-21
  11. Data Science #3 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 1

    Publicerades: 2024-07-16
  12. Data Science #2 - "Application of the Logistic Function to Bio-Assays" (1944), Berkson Joseph

    Publicerades: 2024-07-07
  13. Data Science #1 - Fisher RA. "On the mathematical foundations of theoretical statistics"(1922)

    Publicerades: 2024-07-07

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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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