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Probability and Statistics
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Related lectures (53)
Statistical Analysis: Boxplot and Normal Distribution
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Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.
Stochastic Processes: Definitions and Examples
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Covers the definitions and examples of continuous-time stochastic processes.
Supervised Learning Fundamentals
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Introduces the fundamentals of supervised learning, including loss functions and probability distributions.
Probability and Statistics: Basics and Applications
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Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.
Hydrologic and Hydraulic Design
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Explores the design of engineering works for floods, focusing on 100-year flood determination and the collapse of levees during extreme events.
Graphical Models: Probability Distributions and Factor Graphs
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Covers graphical models for probability distributions and factor graphs representation.
Central Limit Theorem: Illustration and Applications
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Explores the Central Limit Theorem and its applications in statistical analysis.
Elementary probability: Theory and calculations
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Introduces elementary probability theory, set theory operations, and probability calculations with practical examples.
Probability and Statistics
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Covers mathematical concepts from number theory to probability and statistics.
Combinatorial Principles: Factorials and Probabilities
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Introduces combinatorial principles, factorials, probabilities, harmonic series convergence, and strategic decision-making in a romantic scenario.
Special Families of Models
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Explores completeness, minimal sufficiency, and special statistical models, focusing on exponential and transformation families.
Fracture Mechanics: Crack Growth and Weakest Link
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Explores fracture mechanics, crack growth, and the weakest link theory, emphasizing the statistical distribution of crack sizes and the significance of the largest crack in material failure.
Statistics: Exploratory Data Analysis
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Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.
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