Notes on human–AI collaboration, tools for thought, and doing more with less.https://mineti.dev/en-ushttps://mineti.dev/articles/enabling-data-driven-results/https://mineti.dev/articles/enabling-data-driven-results/Integrating decision support systems into business processes — the building blocks of descriptive, predictive, and prescriptive systems, and why results happen in processes, not in the systems themselves.Tue, 09 May 2023 00:00:00 GMTdecision-support-systemsbusiness-intelligencemachine-learningoptimizationhttps://mineti.dev/articles/artificial-intelligence-a-concise-conceptual-introduction/https://mineti.dev/articles/artificial-intelligence-a-concise-conceptual-introduction/A conceptual map of artificial intelligence — from the definition of intelligence to the five abstraction layers of every machine learning solution.Mon, 25 May 2020 00:00:00 GMTartificial-intelligencemachine-learningstatisticshttps://mineti.dev/articles/multiple-linear-regression/https://mineti.dev/articles/multiple-linear-regression/Linear regression with several features in matrix form: the closed-form least-squares estimator derived and computed, the sampling distribution of the coefficients, and a from-scratch look at LASSO, ridge, and elastic-net regularization.Mon, 16 Mar 2020 00:00:00 GMTlinear-regressionstatisticsleast-squaresregularizationhttps://mineti.dev/articles/simple-linear-regression/https://mineti.dev/articles/simple-linear-regression/Fitting a line from scratch: the model and its assumptions, least-squares estimates derived by hand and by optimizer, the sampling distributions of the coefficients, a confidence band for the mean response, and R².Mon, 16 Mar 2020 00:00:00 GMTlinear-regressionstatisticsleast-squaresestimatorshttps://mineti.dev/articles/single-parameter-frequentist-inference/https://mineti.dev/articles/single-parameter-frequentist-inference/Three estimators for the mean of a normal sample — sample mean, least squares, and maximum likelihood — derived from scratch and shown to coincide, then confidence intervals checked against the truth.Tue, 08 Jan 2019 00:00:00 GMTfrequentist-inferencestatisticsestimatorsmaximum-likelihoodhttps://mineti.dev/articles/law-of-large-numbers/https://mineti.dev/articles/law-of-large-numbers/Why the average of many trials settles on the expected value — shown with coin and dice simulations in NumPy, then the weak law stated and proved via Chebyshev's inequality.Fri, 04 Jan 2019 00:00:00 GMTlaw-of-large-numbersprobabilitystatisticssimulationhttps://mineti.dev/articles/markov-chains/https://mineti.dev/articles/markov-chains/A from-scratch look at Markov chains with NumPy — the Markov property, transition matrices, and how any starting distribution converges to the same stationary distribution.Fri, 14 Dec 2018 00:00:00 GMTmarkov-chainsprobabilitystochastic-processesstatistics