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Data Science #32 - A Markovian Decision Process, Richard Bellman (1957)

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Data Science #31 - Correlation and causation (1921), Wright Sewall

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Data Science #30 - The Bootstrap Method (1977)

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Data Science #29 - The Chi-square automatic interaction detection(CHAID) algorithm (1979)

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Data Science #28 - The Bloom filter algorithm

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Data Science #27 - The History of Least Squares (1877)

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Data Science #26 - The First Gradient decent algorithm by Cauchy (1847)

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Data Science #24 - The Expectation Maximization (EM) algorithm Paper review (1977)

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Data Science #23- The Markov Chain Monte Carl MCMC Paper review (1953)

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Data Science #22 - The theory of dynamic programming, Paper review 1954

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Data Science #21 - Steps Toward Artificial Intelligence

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Data Science #20 - the Rao-Cramer bound (1945)

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Data Science #19 - The Kullback–Leibler divergence paper (1951)

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Data Science #18 - The k-nearest neighbors algorithm (1951)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Data Science #32 - A Markovian Decision Process, Richard Bellman (1957)

Playlist

Data Science #31 - Correlation and causation (1921), Wright Sewall

Playlist

Data Science #30 - The Bootstrap Method (1977)

Playlist

Data Science #29 - The Chi-square automatic interaction detection(CHAID) algorithm (1979)

Playlist

Data Science #28 - The Bloom filter algorithm

Playlist

Data Science #27 - The History of Least Squares (1877)

Playlist

Data Science #26 - The First Gradient decent algorithm by Cauchy (1847)

Playlist

Data Science #24 - The Expectation Maximization (EM) algorithm Paper review (1977)

Playlist

Data Science #23- The Markov Chain Monte Carl MCMC Paper review (1953)

Playlist

Data Science #22 - The theory of dynamic programming, Paper review 1954

Playlist

Data Science #21 - Steps Toward Artificial Intelligence

Playlist

Data Science #20 - the Rao-Cramer bound (1945)

Playlist

Data Science #19 - The Kullback–Leibler divergence paper (1951)

Playlist

Data Science #18 - The k-nearest neighbors algorithm (1951)

Playlist

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

Playlist

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

Playlist

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

Playlist

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

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

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

Playlist

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

Playlist

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

Playlist

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

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

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

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

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

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

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

Playlist

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

Playlist

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

Playlist