Data Science Decoded
By Mike E
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Category: Mathematics
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Subscribers: 7
Reviews: 0
Episodes: 33
Description
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
| Episode | Date |
|---|---|
|
Data Science #34 - The deep learning original paper review, Hinton, Rumelhard & Williams (1985)
|
Nov 23, 2025 |
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Data Science #33 - The Backpropagation method, Paul Werbos (1980)
|
Nov 03, 2025 |
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Data Science #32 - A Markovian Decision Process, Richard Bellman (1957)
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Sep 19, 2025 |
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Data Science #31 - Correlation and causation (1921), Wright Sewall
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Jul 26, 2025 |
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Data Science #30 - The Bootstrap Method (1977)
|
May 30, 2025 |
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Data Science #29 - The Chi-square automatic interaction detection(CHAID) algorithm (1979)
|
May 23, 2025 |
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Data Science #28 - The Bloom filter algorithm
|
May 23, 2025 |
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Data Science #27 - The History of Least Squares (1877)
|
Apr 02, 2025 |
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Data Science #26 - The First Gradient decent algorithm by Cauchy (1847)
|
Mar 23, 2025 |
|
Data Science #24 - The Expectation Maximization (EM) algorithm Paper review (1977)
|
Feb 04, 2025 |
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Data Science #23- The Markov Chain Monte Carl MCMC Paper review (1953)
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Jan 14, 2025 |
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Data Science #22 - The theory of dynamic programming, Paper review 1954
|
Jan 07, 2025 |
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Data Science #21 - Steps Toward Artificial Intelligence
|
Dec 25, 2024 |
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Data Science #20 - the Rao-Cramer bound (1945)
|
Dec 09, 2024 |
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Data Science #19 - The Kullback–Leibler divergence paper (1951)
|
Dec 02, 2024 |
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Data Science #18 - The k-nearest neighbors algorithm (1951)
|
Nov 25, 2024 |
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Data Science #17 - The Monte Carlo Algorithm (1949)
|
Nov 18, 2024 |
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Data Science #16 - The First Stochastic Descent Algorithm (1952)
|
Nov 07, 2024 |
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Data Science #15 - The First Decision Tree Algorithm (1963)
|
Oct 28, 2024 |
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Data Science #14 - The original k-means algorithm paper review (1957)
|
Oct 10, 2024 |
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Data Science #13 - Kolmogorov complexity paper review (1965) - Part 2
|
Oct 01, 2024 |
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Data Science #12 - Kolmogorov complexity paper review (1965) - Part 1
|
Sep 28, 2024 |
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Data Science #11 - The original Perceptron paper by Frank Rosenblatt (1958)
|
Sep 20, 2024 |
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Data Science #10 - The original principal component analysis (PCA) paper by Harold Hotelling (1935)
|
Sep 12, 2024 |
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Data Science #9 - The Unreasonable Effectiveness of Mathematics in Natural Sciences, Eugene Wigner
|
Sep 10, 2024 |
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Data Science #8 - The Turing test by Turing Alan "Computing machinery and intelligence" Mind (1950)
|
Sep 04, 2024 |
|
Data Science #7 - "The use of multiple measurements in taxonomic problems." (1936), Fisher RA
|
Aug 12, 2024 |
|
Data Science #6 -"On the problem of the most efficient tests of statistical hypotheses." (1933) N&P
|
Aug 07, 2024 |
|
Data Science #5 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 3
|
Jul 30, 2024 |
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Data Science #4 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 2
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Jul 21, 2024 |
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Data Science #3 - "A Mathematical Theory of Communication" (1948), Shannon, C. E. Part - 1
|
Jul 16, 2024 |
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Data Science #2 - "Application of the Logistic Function to Bio-Assays" (1944), Berkson Joseph
|
Jul 07, 2024 |
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Data Science #1 - Fisher RA. "On the mathematical foundations of theoretical statistics"(1922)
|
Jul 07, 2024 |