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Scientific Method Misunderstandings
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Clustering & Density Estimation
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Covers clustering, PCA, LDA, K-means, GMM, KDE, and Mean Shift algorithms for density estimation and clustering.
Statistical Inference: Confidence Intervals
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Covers the construction of approximate confidence intervals using the central limit theorem for large sample sizes.
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Statistical Theory: Maximum Likelihood Estimation
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Explores the consistency and asymptotic properties of the Maximum Likelihood Estimator, including challenges in proving its consistency and constructing MLE-like estimators.
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