Maximum Likelihood Estimation (MLE): Statistical Modeling in Data Science
Discover the fundamentals of Maximum Likelihood Estimation (MLE), its role in data science, and how it impacts businesses through predictive analytics and risk modeling.
Recent posts
Causality Beyond Correlation: Simpson’s and Berkson’s Paradoxes
Understand how causal reasoning helps us move beyond correlation, resolving paradoxes and leading to more accurate insights from data analysis.
Mathematical Models of Inequality: Understanding Lorenz Curves and Gini Coefficients
This article delves into mathematical models of inequality, focusing on the Lorenz curve and Gini coefficient to measure and interpret economic disparities.
Machine Learning and Statistics: Bridging the Gap
Machine learning is often seen as a new frontier, but its roots lie firmly in traditional statistical methods. This article explores how statistical techniques underpin key machine learning algorithms, highlighting their interconnectedness.
A Deep Dive into Why Multiple Imputation is Indefensible
Let’s examine why multiple imputation, despite being popular, may not be as robust or interpretable as it’s often considered. Is there a better approach?
Evaluating Binary Classifiers on Imbalanced Datasets: Why AUC-PR Beats AUC-ROC and Gini
AUC-ROC and Gini are popular metrics for evaluating binary classifiers, but they can be misleading on imbalanced datasets. Discover why AUC-PR, with its focus on Precision and Recall, offers a better evaluation for handling rare events.
Understanding Splines: What They Are and How They Are Used in Data Analysis
Splines are powerful tools for modeling complex, nonlinear relationships in data. In this article, we’ll explore what splines are, how they work, and how they are used in data analysis, statistics, and machine learning.
Shapiro-Wilk Test vs. Anderson-Darling: Checking for Normality in Small vs. Large Samples
Explore the differences between the Shapiro-Wilk and Anderson-Darling tests, two common methods for testing normality, and how sample size and distribution affect their performance.
Hypatia of Alexandria: The First Known Female Mathematician
Hypatia of Alexandria is recognized as the first known female mathematician. This article explores her contributions to geometry and astronomy, her philosophical influence, and her tragic death.
Calculus: Understanding Derivatives and Integrals
Dive into the world of calculus, where derivatives and integrals are used to analyze change and calculate areas under curves. Learn about these fundamental tools and their wide-ranging applications.