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Related lectures (32)
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Measures of central tendency
Covers mean, median, mode, box plots, and histograms in datasets.
Ensemble microcanonique: perfect gas
Explores the microcanonical ensemble applied to a perfect gas and the statistical mean of physical quantities.
Random Numbers Visualization
Explains how constants affect the mean and variance of random numbers.
Replica Symmetry Breaking: Random Energy Model
Explores Replica Symmetry Breaking in the Random Energy Model, focusing on configurations, variance, mean, and system behavior.
Numpy: Broadcasting, Operations, Comparisons, and Constants
Covers broadcasting, operations, comparisons, and numpy constants like pi, e, and infinity.
Statistics: Exploratory Data Analysis
Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.
Probability Distributions: Moments and Transformations
Covers moments computation and probability distribution transformations.
Central Limit Theorem: Illustration and Applications
Explores the Central Limit Theorem and its statistical implications in random variables.
Stochastic Models for Communications: Continuous-Time Stochastic Processes - Stationarity
Covers the concept of stationarity in continuous-time stochastic processes and its implications in communication systems.
Law of Large Numbers: Statistics
Explains the Law of Large Numbers and its application to random variables.