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Number Representation and Algorithms
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Related lectures (28)
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Variance and Covariance: Properties and Examples
Explores variance, covariance, and practical applications in statistics and probability.
Central Limit Theorem: Properties and Applications
Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.
Probability and Statistics
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Probability and Statistics: Fundamental Theorems
Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.
Elements of Statistics: Probability and Random Variables
Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.
Probability and Statistics
Introduces key concepts in probability and statistics, illustrating their application through various examples and emphasizing the importance of mathematical language in understanding the universe.
Probability and Statistics: Independence and Conditional Probability
Explores independence and conditional probability in probability and statistics, with examples illustrating the concepts and practical applications.
Lexicons, n-grams and Language Models
Explores lexicons, n-grams, and language models, emphasizing their importance in recognizing words and the effectiveness of n-grams for various tasks.
Probability and Statistics
Covers probability, statistics, independence, covariance, correlation, and random variables.
Lindblad equation
Covers the interpretation of the Lindblad equation and its unitary part in quantum gases.
