Mean, Variance, Skewness, and Kurtosis - Math for Machine Learning

Learn about distinguishing probability distributions through statistical measures in this 26-minute video from Serrano.Academy, part of the Math for ML Specialization with Deeplearning.ai. Explore four key concepts that help characterize distributions: Average (00:24), which measures central tendency; Variance (04:31), which quantifies data spread; Skewness (10:24), which describes distribution asymmetry; and Kurtosis (16:32), which analyzes the "tailedness" of probability distributions. Master these fundamental statistical concepts essential for machine learning and data science applications.