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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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