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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Episoder(33)

Data Science #17 - The Monte Carlo Algorithm (1949)

Data Science #17 - The Monte Carlo Algorithm (1949)

We review the original Monte Carlo paper from 1949 by Metropolis, Nicholas, and Stanislaw Ulam. "The monte carlo method." Journal of the American statistical association 44.247 (1949): 335-341. The M...

18 Nov 202438min

Data Science #16 - The First Stochastic Descent Algorithm (1952)

Data Science #16 - The First Stochastic Descent Algorithm (1952)

In the 16th episode we go over the seminal the 1952 paper titled: "A stochastic approximation method." The annals of mathematical statistics (1951): 400-407, by Robbins, Herbert and Sutton Monro. Th...

7 Nov 202442min

Data Science #15 - The First Decision Tree Algorithm (1963)

Data Science #15 - The First Decision Tree Algorithm (1963)

the 15th episode we went over the paper "Problems in the Analysis of Survey Data, and a Proposal" by James N. Morgan and John A. Sonquist from 1963. It highlights seven key issues in analyzing comple...

28 Okt 202436min

Data Science #14 - The original k-means algorithm paper review (1957)

Data Science #14 - The original k-means algorithm paper review (1957)

At the 14th episode we go over the Stuart Lloyd's 1957 paper, "Least Squares Quantization in PCM," (which was published only at 1982) The k-means algorithm can be traced back to this paper. Loyd int...

10 Okt 202446min

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

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

In the 14th episode we review the second part of Kolmogorov's seminal paper: Three approaches to the quantitative definition of information’." Problems of information transmission 1.1 (1965): 1-7. Th...

1 Okt 202429min

Data Science #12 - Kolmogorov complexity paper review (1965) - Part 1

Data Science #12 - Kolmogorov complexity paper review (1965) - Part 1

In the 12th episode we review the first part of Kolmogorov's seminal paper: "3 approaches to the quantitative definition of information’." Problems of information transmission 1.1 (1965): 1-7. The p...

28 Sep 202438min

Data Science #11 - The original Perceptron paper by Frank Rosenblatt (1958)

Data Science #11 - The original Perceptron paper by Frank Rosenblatt (1958)

Frank Rosenblatt's 1958 paper, "The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain," introduces the perceptron, an early neural network model inspired by how t...

20 Sep 20241h 3min

Data Science #10 - The original principal component analysis (PCA) paper by Harold Hotelling (1935)

Data Science #10 - The original principal component analysis (PCA) paper by Harold Hotelling (1935)

Hotelling, Harold. "Analysis of a complex of statistical variables into principal components." Journal of educational psychology 24.6 (1933): 417. This seminal work by Harold Hotelling on PCA remains...

12 Sep 202455min

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