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[Central Limit Theorem](statistics/central_limit_theorem.ipynb)\n - [Correlation](statistics/correlation.ipynb)\n - [Law of Large Numbers](statistics/law_of_large_numbers.ipynb)\n - [MLE and MAP](statistics/mle_map.ipynb)\n - [Epidemiology](statistics/epidemiology.ipynb)\n - [KL Divergence](probability/kl_divergence.ipynb)\n - [Fundamental Theorem of Calculus](probability/fundamental_theorem_calculus.ipynb)\n - [MCMC First principles](probability/mcmc.ipynb)\n - [Poisson Distribution](statistics/poisson_distribution.ipynb)\n - [Frequentist Uncertainty](statistics/frequentist_uncertainty.ipynb)\n - [Epidemiology](statistics/epidemiology.ipynb)\n - [Variational Inference - ELBO](probability/vi_elbo.py)\n - [MCMC Approximation](probability/monte_carlo_approximation.py)\n - [Metropolis-Hastings](probability/samplers/samplers_metroplis_hasting_v2.py)\n - [Gibbs sampling a 2d GMM](probability/samplers/samplers_gibbs_2d_gmm.py)\n - [Hamiltonian Monte Carlo](probability/samplers/samplers_hmc.py)\n\n\n### Linear Algebra\n\n - [Cross, Inner, Outer, and Dot Products](linear_algebra/Cross-Inner-Outer-Products.ipynb)\n - [Linear Combinations, Spans, and Basis Vectors](linear_algebra/Linear-Combinations-Span-Basis.ipynb)\n - [Solving systems of equations with Inverse Matrices, Rank, and Null Space](Inverse-Column-Null-Space.ipynb)\n - [Matrix Multiplication as a Composition](linear_algebra/Matrix-Multiplication-Transformations.ipynb)\n - [The Determinant](linear_algebra/Determinant.ipynb)\n - [3d Linear Transformations](linear_algebra/3d-Linear-Transformations.ipynb)\n - [Abstract Vector Spaces](linear_algebra/Abstract-Vector-Spaces.ipynb)\n - [Eigenvectors and Eigenvalues](linear_algebra/Eigenvectors-Eigenvalues.ipynb)\n - [Singular Value Decomposition](linear_algebra/SVD.ipynb)\n\n### Machine Learning from Scratch\n\n - [Logistic Regression](vanilla_ml/logistic_regression.ipynb)\n - [Generative Classifer](vanilla_ml/kde.ipynb)\n - [Gradient Descent](vanilla_ml/gradient_descent.ipynb)\n - [Kernel Functions](vanilla_ml/kernel_functions.ipynb)\n - [Gaussian Processes](vanilla_ml/gaussian_processes.ipynb)\n - [Inference vs. Prediction pt.1 \u0026 2](vanilla_ml/inference_vs_prediction_pt1.ipynb)\n - [Making a Algorithm Learn](vanilla_ml/learning_and_nn.ipynb)\n - [Principal Component Analysis](vanilla_ml/pca.py)\n\n### Microeconomics\n\n- [Bayesian Demand Uncertainty and Forecasting](microeconomics/bayesian_demand_uncertainty.ipynb)\n- [Ride Hailing Services Regression Discontinuity](microeconomics/regression-discontinuity/)\n- [Marginal cost curves](microeconomics/marginal.ipynb)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgstechschulte%2Fautodidact","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgstechschulte%2Fautodidact","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgstechschulte%2Fautodidact/lists"}