The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Build foundational knowledge of data science with this introduction ...

First, we discuss basic probability notions from the viewpoint of category theory. Our approach is based on the following four "sine quibus non" conditions: 1. (elementary) category theory is ...

Explain why probability is important to statistics and data science. See the relationship between conditional and independent events in a statistical experiment. Calculate the expectation and variance ...

Including Basic Probability Concepts, Random Variables, Selected Probability Distributions, Modes of Convergence, Properties of Estimators, Frequentist Hypothesis Testing and Bayesian Inference. Part ...

DR. KEYNES'S book is a searching analysis of the fundamental principles of the theory of probability and of the particular judgments involved in its application to concrete problems. He adopts the ...

This paper identifies three basic concepts— (1) a system perspective, (2) triangulation of data collection, and (3) iterative data collection and analysis—and suggests that they provide a conceptual ...

By learning a few key concepts in arithmetic, algebra, probability theory, and compound interest, you can gain the confidence to make informed investment decisions and grow your wealth.