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Learn Expected Values, earn certificates with paid and free online courses from Harvard, Johns Hopkins, Georgia Tech, The Open University and other top universities around the world. Read reviews to decide if a class is right for you.
Explore statistical learning with Robert Schapire, covering expected value theorems, ghost samples, PAC learning, and finite hypothesis spaces in this comprehensive lecture.
Learn to draw conclusions from data using statistical inference techniques, covering probability, distributions, hypothesis testing, and advanced methods for robust analysis.
Increase your quantitative reasoning skills through a deeper understanding of probability and statistics.
Learn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008.
Explore advanced linear algebra and statistical concepts for regression modeling, enhancing your understanding of least squares, multivariate distributions, and residual analysis.
Explore discrete and continuous random variables, their properties, and applications. Learn about joint variables, independence, and correlation. Practice with R for statistical analysis.
Explore probability concepts and random variables, enhancing modeling skills for real-world applications. Learn about discrete and continuous variables, expected values, and joint distributions using R statistical package.
Intuitive introduction to probability theory, covering key concepts and practical applications. Gain tools to handle uncertainty in daily life through engaging modules and exercises.
Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science.
Fundamental and Easy-To-Learn No Limit Hold’em Mathematics You Need To Know
This free course introduces basic ideas of probability. It focuses on dealing with uncertainty in a financial context and explores decision trees, a powerful decision-making technique, which can ...
Comprehensive exploration of probability theory and random variables, covering axioms, distributions, expectations, and advanced concepts for a solid foundation in statistical analysis.
Explore the fundamental concepts and fascinating applications of probability in this fun and engaging course by an award-winning mathematician.
Tap into a framework for understanding the world around us, from sports to science.
Tour the mathematics used to model the chaos of the financial markets.
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